https://robustlybeneficial.org/wiki/index.php?action=history&feed=atom&title=Robustly_Beneficial_group Robustly Beneficial group - Revision history 2026-04-28T15:23:45Z Revision history for this page on the wiki MediaWiki 1.34.0 https://robustlybeneficial.org/wiki/index.php?title=Robustly_Beneficial_group&diff=2536&oldid=prev Lê Nguyên Hoang: /* Past papers */ 2020-03-10T18:52:53Z <p><span dir="auto"><span class="autocomment">Past papers</span></span></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 18:52, 10 March 2020</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l4" >Line 4:</td> <td colspan="2" class="diff-lineno">Line 4:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* WeBuildAI: Participatory Framework for Algorithmic Governance, PACMHCI. [https://www.cs.cmu.edu/~akahng/papers/webuildai.pdf LKKKY+][https://dblp.org/rec/bibtex/journals/pacmhci/LeeKKKYCSNLPP19 19].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* WeBuildAI: Participatory Framework for Algorithmic Governance, PACMHCI. [https://www.cs.cmu.edu/~akahng/papers/webuildai.pdf LKKKY+][https://dblp.org/rec/bibtex/journals/pacmhci/LeeKKKYCSNLPP19 19].</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. [https://arxiv.org/abs/1911.08265 SAHSS+][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Mastering+Atari%2C+Go%2C+Chess+and+Shogi+by+Planning+with+a+Learned+Model&amp;btnG= 19].</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">* A Roadmap for Robust End-to-End Alignment. [https://arxiv.org/abs/1809.01036 Hoang][https://dblp.org/rec/bibtex/journals/corr/abs-1809-01036 18] [https://www.youtube.com/watch?v=uR05T8YklvE RB8].</ins></div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. [https://arxiv.org/abs/1911.08265 SAHSS+][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Mastering+Atari%2C+Go%2C+Chess+and+Shogi+by+Planning+with+a+Learned+Model&amp;btnG= 19<ins class="diffchange diffchange-inline">] [https://www.youtube.com/watch?v=NBprWAfCcFY RB7</ins>].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Intelligent Autonomous Things on the Battlefield. AI for the Internet of Everything. [https://arxiv.org/ftp/arxiv/papers/1902/1902.10086.pdf KottStump][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Intelligent+Autonomous+Things+on+the+Battlefield&amp;btnG= 19] [https://youtu.be/gxwGkZeSg30 RB6].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Intelligent Autonomous Things on the Battlefield. AI for the Internet of Everything. [https://arxiv.org/ftp/arxiv/papers/1902/1902.10086.pdf KottStump][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Intelligent+Autonomous+Things+on+the+Battlefield&amp;btnG= 19] [https://youtu.be/gxwGkZeSg30 RB6].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Efficient Learning from Comparisons. [https://infoscience.epfl.ch/record/255399/files/EPFL_TH8637.pdf MaystrePhD][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Efficient+Learning+from+Comparisons+maystre&amp;btnG= 18] [https://www.youtube.com/watch?v=bmD-myeu19Q RB5].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Efficient Learning from Comparisons. [https://infoscience.epfl.ch/record/255399/files/EPFL_TH8637.pdf MaystrePhD][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Efficient+Learning+from+Comparisons+maystre&amp;btnG= 18] [https://www.youtube.com/watch?v=bmD-myeu19Q RB5].</div></td></tr> </table> Lê Nguyên Hoang https://robustlybeneficial.org/wiki/index.php?title=Robustly_Beneficial_group&diff=2533&oldid=prev Lê Nguyên Hoang at 18:46, 10 March 2020 2020-03-10T18:46:45Z <p></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 18:46, 10 March 2020</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l3" >Line 3:</td> <td colspan="2" class="diff-lineno">Line 3:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* WeBuildAI: Participatory Framework for Algorithmic Governance, PACMHCI. [https://www.cs.cmu.edu/~akahng/papers/webuildai.pdf LKKKY+][https://dblp.org/rec/bibtex/journals/pacmhci/LeeKKKYCSNLPP19 19].</ins></div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. [https://arxiv.org/abs/1911.08265 SAHSS+][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Mastering+Atari%2C+Go%2C+Chess+and+Shogi+by+Planning+with+a+Learned+Model&amp;btnG= 19].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. [https://arxiv.org/abs/1911.08265 SAHSS+][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Mastering+Atari%2C+Go%2C+Chess+and+Shogi+by+Planning+with+a+Learned+Model&amp;btnG= 19].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Intelligent Autonomous Things on the Battlefield. AI for the Internet of Everything. [https://arxiv.org/ftp/arxiv/papers/1902/1902.10086.pdf KottStump][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Intelligent+Autonomous+Things+on+the+Battlefield&amp;btnG= 19] [https://youtu.be/gxwGkZeSg30 RB6].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Intelligent Autonomous Things on the Battlefield. AI for the Internet of Everything. [https://arxiv.org/ftp/arxiv/papers/1902/1902.10086.pdf KottStump][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Intelligent+Autonomous+Things+on+the+Battlefield&amp;btnG= 19] [https://youtu.be/gxwGkZeSg30 RB6].</div></td></tr> <tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l26" >Line 26:</td> <td colspan="2" class="diff-lineno">Line 27:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Why Philosophers Should Care About Computational Complexity, ECCC. [https://www.scottaaronson.com/papers/philos.pdf Aaronson][https://dblp.org/rec/bibtex/journals/eccc/Aaronson11b 11].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Why Philosophers Should Care About Computational Complexity, ECCC. [https://www.scottaaronson.com/papers/philos.pdf Aaronson][https://dblp.org/rec/bibtex/journals/eccc/Aaronson11b 11].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Facebook language predicts depression in medical records, PNAS. [https://www.pnas.org/content/pnas/115/44/11203.full.pdf ESMUC+][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Facebook+language+predicts+depression+in+medical+records&amp;btnG= 18].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Facebook language predicts depression in medical records, PNAS. [https://www.pnas.org/content/pnas/115/44/11203.full.pdf ESMUC+][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Facebook+language+predicts+depression+in+medical+records&amp;btnG= 18].</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">* WeBuildAI: Participatory Framework for Algorithmic Governance, PACMHCI. [https://www.cs.cmu.edu/~akahng/papers/webuildai.pdf LKKKY+][https://dblp.org/rec/bibtex/journals/pacmhci/LeeKKKYCSNLPP19 19].</del></div></td><td colspan="2"> </td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Exposure to opposing views on social media can increase political polarization, PNAS.  [https://www.pnas.org/content/pnas/115/37/9216.full.pdf BABBC+][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Exposure+to+opposing+views+on+social+media+can+increase+political+polarization&amp;btnG= 18].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Exposure to opposing views on social media can increase political polarization, PNAS.  [https://www.pnas.org/content/pnas/115/37/9216.full.pdf BABBC+][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Exposure+to+opposing+views+on+social+media+can+increase+political+polarization&amp;btnG= 18].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges, Statistical science: a review journal of the Institute of Mathematical Statistics. [https://arxiv.org/pdf/1507.08025.pdf VBW][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Multi-armed+Bandit+Models+for+the+Optimal+Design+of+Clinical+Trials%3A+Benefits+and+Challenges&amp;btnG= 15].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges, Statistical science: a review journal of the Institute of Mathematical Statistics. [https://arxiv.org/pdf/1507.08025.pdf VBW][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Multi-armed+Bandit+Models+for+the+Optimal+Design+of+Clinical+Trials%3A+Benefits+and+Challenges&amp;btnG= 15].</div></td></tr> </table> Lê Nguyên Hoang https://robustlybeneficial.org/wiki/index.php?title=Robustly_Beneficial_group&diff=216&oldid=prev Lê Nguyên Hoang: /* Past papers */ 2020-02-21T13:23:03Z <p><span dir="auto"><span class="autocomment">Past papers</span></span></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 13:23, 21 February 2020</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l4" >Line 4:</td> <td colspan="2" class="diff-lineno">Line 4:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. [https://arxiv.org/abs/1911.08265 SAHSS+][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Mastering+Atari%2C+Go%2C+Chess+and+Shogi+by+Planning+with+a+Learned+Model&amp;btnG= 19].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. [https://arxiv.org/abs/1911.08265 SAHSS+][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Mastering+Atari%2C+Go%2C+Chess+and+Shogi+by+Planning+with+a+Learned+Model&amp;btnG= 19].</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Intelligent Autonomous Things on the Battlefield. AI for the Internet of Everything. [https://arxiv.org/ftp/arxiv/papers/1902/1902.10086.pdf KottStump][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Intelligent+Autonomous+Things+on+the+Battlefield&amp;btnG= 19].</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Intelligent Autonomous Things on the Battlefield. AI for the Internet of Everything. [https://arxiv.org/ftp/arxiv/papers/1902/1902.10086.pdf KottStump][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Intelligent+Autonomous+Things+on+the+Battlefield&amp;btnG= 19<ins class="diffchange diffchange-inline">] [https://youtu.be/gxwGkZeSg30 RB6</ins>].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Efficient Learning from Comparisons. [https://infoscience.epfl.ch/record/255399/files/EPFL_TH8637.pdf MaystrePhD][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Efficient+Learning+from+Comparisons+maystre&amp;btnG= 18] [https://www.youtube.com/watch?v=bmD-myeu19Q RB5].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Efficient Learning from Comparisons. [https://infoscience.epfl.ch/record/255399/files/EPFL_TH8637.pdf MaystrePhD][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Efficient+Learning+from+Comparisons+maystre&amp;btnG= 18] [https://www.youtube.com/watch?v=bmD-myeu19Q RB5].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Focusing on the Long-Term: It's Good for Users and Business. KDD. [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] [https://www.youtube.com/watch?v=_RuyXyekx6g RB4].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Focusing on the Long-Term: It's Good for Users and Business. KDD. [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] [https://www.youtube.com/watch?v=_RuyXyekx6g RB4].</div></td></tr> </table> Lê Nguyên Hoang https://robustlybeneficial.org/wiki/index.php?title=Robustly_Beneficial_group&diff=215&oldid=prev Lê Nguyên Hoang: /* Past papers */ 2020-02-21T13:21:40Z <p><span dir="auto"><span class="autocomment">Past papers</span></span></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 13:21, 21 February 2020</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l3" >Line 3:</td> <td colspan="2" class="diff-lineno">Line 3:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. [https://arxiv.org/abs/1911.08265 SAHSS+][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Mastering+Atari%2C+Go%2C+Chess+and+Shogi+by+Planning+with+a+Learned+Model&amp;btnG= 19].</ins></div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Intelligent Autonomous Things on the Battlefield. AI for the Internet of Everything. [https://arxiv.org/ftp/arxiv/papers/1902/1902.10086.pdf KottStump][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Intelligent+Autonomous+Things+on+the+Battlefield&amp;btnG= 19].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Intelligent Autonomous Things on the Battlefield. AI for the Internet of Everything. [https://arxiv.org/ftp/arxiv/papers/1902/1902.10086.pdf KottStump][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Intelligent+Autonomous+Things+on+the+Battlefield&amp;btnG= 19].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Efficient Learning from Comparisons. [https://infoscience.epfl.ch/record/255399/files/EPFL_TH8637.pdf MaystrePhD][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Efficient+Learning+from+Comparisons+maystre&amp;btnG= 18] [https://www.youtube.com/watch?v=bmD-myeu19Q RB5].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Efficient Learning from Comparisons. [https://infoscience.epfl.ch/record/255399/files/EPFL_TH8637.pdf MaystrePhD][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Efficient+Learning+from+Comparisons+maystre&amp;btnG= 18] [https://www.youtube.com/watch?v=bmD-myeu19Q RB5].</div></td></tr> </table> Lê Nguyên Hoang https://robustlybeneficial.org/wiki/index.php?title=Robustly_Beneficial_group&diff=214&oldid=prev Lê Nguyên Hoang: /* Candidate future papers */ 2020-02-20T17:32:13Z <p><span dir="auto"><span class="autocomment">Candidate future papers</span></span></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 17:32, 20 February 2020</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l35" >Line 35:</td> <td colspan="2" class="diff-lineno">Line 35:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Science and Environmental Communication via Online Video: Strategically Distorted Communications on Climate Change and Climate Engineering on YouTube, Frontiers. [https://www.frontiersin.org/articles/10.3389/fcomm.2019.00036/pdf Allgaier][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Science+and+Environmental+Communication+via+Online+Video%3A+Strategically+Distorted+Communications+on+Climate+Change+and+Climate+Engineering+on+YouTube&amp;btnG= 19]</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Science and Environmental Communication via Online Video: Strategically Distorted Communications on Climate Change and Climate Engineering on YouTube, Frontiers. [https://www.frontiersin.org/articles/10.3389/fcomm.2019.00036/pdf Allgaier][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Science+and+Environmental+Communication+via+Online+Video%3A+Strategically+Distorted+Communications+on+Climate+Change+and+Climate+Engineering+on+YouTube&amp;btnG= 19]</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* An fMRI Investigation of Emotional Engagement in Moral Judgment [https://science.sciencemag.org/content/sci/293/5537/2105.full.pdf?casa_token=7YSThrIwxB0AAAAA:cQJCIjltjkF3GT2V6Op-WBEExmGrwuOsvK6a93ejFZNi6pGRbrWRmoIEOlekacpUbRk04V06Jy9wC4k GSNDC][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=an+fmri+investigation+of+emotional+engagement+in+moral+judgment&amp;btnG= 01]</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* An fMRI Investigation of Emotional Engagement in Moral Judgment [https://science.sciencemag.org/content/sci/293/5537/2105.full.pdf?casa_token=7YSThrIwxB0AAAAA:cQJCIjltjkF3GT2V6Op-WBEExmGrwuOsvK6a93ejFZNi6pGRbrWRmoIEOlekacpUbRk04V06Jy9wC4k GSNDC][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=an+fmri+investigation+of+emotional+engagement+in+moral+judgment&amp;btnG= 01]</div></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Reflections on Trusting Trust. Turing Award Lecture. [https://www.cs.cmu.edu/~rdriley/487/papers/Thompson_1984_ReflectionsonTrustingTrust.pdf Thompson][https://dblp.org/img/download.dark.hollow.16x16.png 84]</ins></div></td></tr> </table> Lê Nguyên Hoang https://robustlybeneficial.org/wiki/index.php?title=Robustly_Beneficial_group&diff=211&oldid=prev Lê Nguyên Hoang at 08:05, 17 February 2020 2020-02-17T08:05:09Z <p></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 08:05, 17 February 2020</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l3" >Line 3:</td> <td colspan="2" class="diff-lineno">Line 3:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Intelligent Autonomous Things on the Battlefield. AI for the Internet of Everything. [https://arxiv.org/ftp/arxiv/papers/1902/1902.10086.pdf KottStump][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Intelligent+Autonomous+Things+on+the+Battlefield&amp;btnG= 19].</ins></div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Efficient Learning from Comparisons. [https://infoscience.epfl.ch/record/255399/files/EPFL_TH8637.pdf MaystrePhD][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Efficient+Learning+from+Comparisons+maystre&amp;btnG= 18] [https://www.youtube.com/watch?v=bmD-myeu19Q RB5].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Efficient Learning from Comparisons. [https://infoscience.epfl.ch/record/255399/files/EPFL_TH8637.pdf MaystrePhD][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Efficient+Learning+from+Comparisons+maystre&amp;btnG= 18] [https://www.youtube.com/watch?v=bmD-myeu19Q RB5].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Focusing on the Long-Term: It's Good for Users and Business. KDD. [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] [https://www.youtube.com/watch?v=_RuyXyekx6g RB4].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Focusing on the Long-Term: It's Good for Users and Business. KDD. [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] [https://www.youtube.com/watch?v=_RuyXyekx6g RB4].</div></td></tr> </table> Lê Nguyên Hoang https://robustlybeneficial.org/wiki/index.php?title=Robustly_Beneficial_group&diff=209&oldid=prev Lê Nguyên Hoang at 10:20, 15 February 2020 2020-02-15T10:20:25Z <p></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 10:20, 15 February 2020</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l3" >Line 3:</td> <td colspan="2" class="diff-lineno">Line 3:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Efficient Learning from Comparisons. [https://infoscience.epfl.ch/record/255399/files/EPFL_TH8637.pdf MaystrePhD][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Efficient+Learning+from+Comparisons+maystre&amp;btnG= 18] [https://www.youtube.com/watch?v=bmD-myeu19Q RB5].</ins></div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Focusing on the Long-Term: It's Good for Users and Business. KDD. [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] [https://www.youtube.com/watch?v=_RuyXyekx6g RB4].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Focusing on the Long-Term: It's Good for Users and Business. KDD. [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] [https://www.youtube.com/watch?v=_RuyXyekx6g RB4].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Experimental evidence of massive-scale emotional contagion through social networks. PNAS. [https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&amp;btnG= 14] [https://www.youtube.com/watch?v=gQHvTow91FY RB3].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Experimental evidence of massive-scale emotional contagion through social networks. PNAS. [https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&amp;btnG= 14] [https://www.youtube.com/watch?v=gQHvTow91FY RB3].</div></td></tr> <tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l32" >Line 32:</td> <td colspan="2" class="diff-lineno">Line 33:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Tackling climate change with machine learning. [https://arxiv.org/pdf/1906.05433.pdf RDKKL+][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Tackling+climate+change+with+machine+learning&amp;btnG= 19].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Tackling climate change with machine learning. [https://arxiv.org/pdf/1906.05433.pdf RDKKL+][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Tackling+climate+change+with+machine+learning&amp;btnG= 19].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Science and Environmental Communication via Online Video: Strategically Distorted Communications on Climate Change and Climate Engineering on YouTube, Frontiers. [https://www.frontiersin.org/articles/10.3389/fcomm.2019.00036/pdf Allgaier][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Science+and+Environmental+Communication+via+Online+Video%3A+Strategically+Distorted+Communications+on+Climate+Change+and+Climate+Engineering+on+YouTube&amp;btnG= 19]</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Science and Environmental Communication via Online Video: Strategically Distorted Communications on Climate Change and Climate Engineering on YouTube, Frontiers. [https://www.frontiersin.org/articles/10.3389/fcomm.2019.00036/pdf Allgaier][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Science+and+Environmental+Communication+via+Online+Video%3A+Strategically+Distorted+Communications+on+Climate+Change+and+Climate+Engineering+on+YouTube&amp;btnG= 19]</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* <del class="diffchange diffchange-inline">Efficient Learning from Comparisons. </del>[https://<del class="diffchange diffchange-inline">infoscience</del>.<del class="diffchange diffchange-inline">epfl</del>.<del class="diffchange diffchange-inline">ch</del>/<del class="diffchange diffchange-inline">record</del>/<del class="diffchange diffchange-inline">255399</del>/<del class="diffchange diffchange-inline">files</del>/<del class="diffchange diffchange-inline">EPFL_TH8637</del>.pdf <del class="diffchange diffchange-inline">MaystrePhD</del>][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=<del class="diffchange diffchange-inline">Efficient</del>+<del class="diffchange diffchange-inline">Learning</del>+<del class="diffchange diffchange-inline">from</del>+<del class="diffchange diffchange-inline">Comparisons</del>+<del class="diffchange diffchange-inline">maystre</del>&amp;btnG= <del class="diffchange diffchange-inline">18</del>]</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* <ins class="diffchange diffchange-inline">An fMRI Investigation of Emotional Engagement in Moral Judgment </ins>[https://<ins class="diffchange diffchange-inline">science</ins>.<ins class="diffchange diffchange-inline">sciencemag</ins>.<ins class="diffchange diffchange-inline">org/content</ins>/<ins class="diffchange diffchange-inline">sci</ins>/<ins class="diffchange diffchange-inline">293</ins>/<ins class="diffchange diffchange-inline">5537</ins>/<ins class="diffchange diffchange-inline">2105.full</ins>.pdf<ins class="diffchange diffchange-inline">?casa_token=7YSThrIwxB0AAAAA:cQJCIjltjkF3GT2V6Op-WBEExmGrwuOsvK6a93ejFZNi6pGRbrWRmoIEOlekacpUbRk04V06Jy9wC4k GSNDC</ins>][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=<ins class="diffchange diffchange-inline">an+fmri+investigation+of+emotional</ins>+<ins class="diffchange diffchange-inline">engagement</ins>+<ins class="diffchange diffchange-inline">in</ins>+<ins class="diffchange diffchange-inline">moral</ins>+<ins class="diffchange diffchange-inline">judgment</ins>&amp;btnG= <ins class="diffchange diffchange-inline">01</ins>]</div></td></tr> </table> Lê Nguyên Hoang https://robustlybeneficial.org/wiki/index.php?title=Robustly_Beneficial_group&diff=208&oldid=prev Lê Nguyên Hoang: /* Past papers */ 2020-02-14T06:54:43Z <p><span dir="auto"><span class="autocomment">Past papers</span></span></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 06:54, 14 February 2020</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l3" >Line 3:</td> <td colspan="2" class="diff-lineno">Line 3:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Focusing on the Long-Term: It's Good for Users and Business. KDD. [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15]</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Focusing on the Long-Term: It's Good for Users and Business. KDD. [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] <ins class="diffchange diffchange-inline">[https://www.youtube.com/watch?v=_RuyXyekx6g RB4].</ins></div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Experimental evidence of massive-scale emotional contagion through social networks. PNAS. [https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&amp;btnG= 14] [https://www.youtube.com/watch?v=gQHvTow91FY RB3].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Experimental evidence of massive-scale emotional contagion through social networks. PNAS. [https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&amp;btnG= 14] [https://www.youtube.com/watch?v=gQHvTow91FY RB3].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Recent Advances in Algorithmic High-Dimensional Robust Statistics. [https://arxiv.org/pdf/1911.05911 DiakonikolasKane][https://dblp.org/rec/bibtex/journals/corr/abs-1911-05911 19] [https://www.youtube.com/watch?v=QguWgfGsG-k RB2].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Recent Advances in Algorithmic High-Dimensional Robust Statistics. [https://arxiv.org/pdf/1911.05911 DiakonikolasKane][https://dblp.org/rec/bibtex/journals/corr/abs-1911-05911 19] [https://www.youtube.com/watch?v=QguWgfGsG-k RB2].</div></td></tr> </table> Lê Nguyên Hoang https://robustlybeneficial.org/wiki/index.php?title=Robustly_Beneficial_group&diff=207&oldid=prev Lê Nguyên Hoang at 06:54, 14 February 2020 2020-02-14T06:54:10Z <p></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 06:54, 14 February 2020</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l3" >Line 3:</td> <td colspan="2" class="diff-lineno">Line 3:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Focusing on the Long-Term: It's Good for Users and Business. KDD. [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15]</ins></div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Experimental evidence of massive-scale emotional contagion through social networks. PNAS. [https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&amp;btnG= 14] [https://www.youtube.com/watch?v=gQHvTow91FY RB3].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Experimental evidence of massive-scale emotional contagion through social networks. PNAS. [https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&amp;btnG= 14] [https://www.youtube.com/watch?v=gQHvTow91FY RB3].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Recent Advances in Algorithmic High-Dimensional Robust Statistics. [https://arxiv.org/pdf/1911.05911 DiakonikolasKane][https://dblp.org/rec/bibtex/journals/corr/abs-1911-05911 19] [https://www.youtube.com/watch?v=QguWgfGsG-k RB2].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Recent Advances in Algorithmic High-Dimensional Robust Statistics. [https://arxiv.org/pdf/1911.05911 DiakonikolasKane][https://dblp.org/rec/bibtex/journals/corr/abs-1911-05911 19] [https://www.youtube.com/watch?v=QguWgfGsG-k RB2].</div></td></tr> </table> Lê Nguyên Hoang https://robustlybeneficial.org/wiki/index.php?title=Robustly_Beneficial_group&diff=170&oldid=prev Lê Nguyên Hoang: /* Past papers */ 2020-02-02T20:29:23Z <p><span dir="auto"><span class="autocomment">Past papers</span></span></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 20:29, 2 February 2020</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l3" >Line 3:</td> <td colspan="2" class="diff-lineno">Line 3:</td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Past papers ==</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Experimental evidence of massive-scale emotional contagion through social networks. [https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&amp;btnG= 14] [https://www.youtube.com/watch?v=gQHvTow91FY RB3].</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Experimental evidence of massive-scale emotional contagion through social networks<ins class="diffchange diffchange-inline">. PNAS</ins>. [https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&amp;btnG= 14] [https://www.youtube.com/watch?v=gQHvTow91FY RB3].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Recent Advances in Algorithmic High-Dimensional Robust Statistics. [https://arxiv.org/pdf/1911.05911 DiakonikolasKane][https://dblp.org/rec/bibtex/journals/corr/abs-1911-05911 19] [https://www.youtube.com/watch?v=QguWgfGsG-k RB2].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Recent Advances in Algorithmic High-Dimensional Robust Statistics. [https://arxiv.org/pdf/1911.05911 DiakonikolasKane][https://dblp.org/rec/bibtex/journals/corr/abs-1911-05911 19] [https://www.youtube.com/watch?v=QguWgfGsG-k RB2].</div></td></tr> <tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Algorithmic Accountability Reporting: On the Investigation of Black Boxes. [https://academiccommons.columbia.edu/doi/10.7916/D8ZK5TW2 Diakopoulos][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Algorithmic+Accountability+Reporting%3A+On+the+Investigation+of+Black+Boxes&amp;btnG= 14] [https://www.youtube.com/watch?v=WWbw4cla2jw RB1].</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Algorithmic Accountability Reporting: On the Investigation of Black Boxes. [https://academiccommons.columbia.edu/doi/10.7916/D8ZK5TW2 Diakopoulos][https://scholar.google.ch/scholar?hl=en&amp;as_sdt=0%2C5&amp;q=Algorithmic+Accountability+Reporting%3A+On+the+Investigation+of+Black+Boxes&amp;btnG= 14] [https://www.youtube.com/watch?v=WWbw4cla2jw RB1].</div></td></tr> </table> Lê Nguyên Hoang