Playlist: 29 videos

Learning, Algorithm Design and Beyond Worst-Case Analysis

This workshop will explore well-motivated non-worst-case approaches to the analysis of algorithms and problems, as well as to the development of techniques that can take advantage of underlying structure in instances. It will bring together...

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0:40:42
Avrim Blum, Carnegie Mellon University
https://simons.berkeley.edu/talks/avrim-blum-2016-11-14
Learning, Algorithm Design and Beyond Worst-Case Analysis
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0:46:41
Aravindan Vijayaraghavan, Northwestern University
https://simons.berkeley.edu/talks/aravindan-vijayaraghavan-2016-11-14
Learning, Algorithm Design and Beyond Worst-Case Analysis
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0:40:17
Colin White, Carnegie Mellon University
https://simons.berkeley.edu/talks/colin-white-2016-11-14
Learning, Algorithm Design and Beyond Worst-Case Analysis
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0:41:30
Uriel Feige, Weizmann Institute
On the Effect of Randomness on Planted 3-Coloring Models
Learning, Algorithm Design and Beyond Worst-Case Analysis
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0:41:7
Cliff Stein, Columbia University
https://simons.berkeley.edu/talks/cliff-stein-2016-11-14
Learning, Algorithm Design and Beyond Worst-Case Analysis
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0:42:27
Pawel Lichocki, Google
https://simons.berkeley.edu/talks/pawel-lichocki-2016-11-14
Learning, Algorithm Design and Beyond Worst-Case Analysis
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0:42:18
Sanjoy Dasgupta, UC San Diego
https://simons.berkeley.edu/talks/sanjoy-dasgupta-2016-11-15
Learning, Algorithm Design and Beyond Worst-Case Analysis
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0:43:23
Robert Krauthgamer, Weizmann Institute
https://simons.berkeley.edu/talks-robert-krauthgamer-2016-11-15
Learning, Algorithm Design and Beyond Worst-Case Analysis
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0:45:32
Shuchi Chawla, University of Wisconsin - Madison
https://simons.berkeley.edu/talks/shuchi-chawla-2016-11-15
Learning, Algorithm Design and Beyond Worst-Case Analysis
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0:43:38
Sanjeev Arora, Princeton University
https://simons.berkeley.edu/talks/sanjeev-arora-2016-11-15
Learning, Algorithm Design and Beyond Worst-Case Analysis
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