Playlist: 21 videos

Adversarial Approaches in Machine Learning

1:4:15

Last-Iterate Convergence in Constrained Min-Max Optimization: SOS to the Rescue

Yang Cai (Yale University)
https://simons.berkeley.edu/talks/robust-md-ml-learned-mechanism
Adversarial Approaches in Machine Learning
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0:48:56

Fast Rates for No-Regret Learning in General Games

Noah Golowich (MIT)
https://simons.berkeley.edu/talks/fast-rates-no-regret-learning-general-games
Adversarial Approaches in Machine Learning
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0:47:35

Offline Reinforcement Learning With Only Realizability

Jason Lee (Princeton)
https://simons.berkeley.edu/talks/offline-reinforcement-learning-only-realizability
Adversarial Approaches in Machine Learning
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0:56:51

The Variational Method of Moments

Nathan Kallus (Cornell University)
https://simons.berkeley.edu/talks/coverage-robust-learning-confounded-markov-decision-processes
Adversarial Approaches in Machine Learning
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0:51:5

Min-max Optimization: From Complexity to Algorithms

Emmanouil Zampetakis (UC Berkeley)
https://simons.berkeley.edu/talks/tbd-361
Adversarial Approaches in Machine Learning
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0:59:30

Min-Max Optimization from a Dynamical Systems Viewpoint

Panayotis Mertikopoulos (CNRS)
https://simons.berkeley.edu/talks/min-max-optimization-dynamical-systems-viewpoint
Adversarial Approaches in Machine Learning
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0:45:45

Smooth Nonconvex Min-Max Optimization

Meisam Razaviyayn (University of Southern California)
https://simons.berkeley.edu/talks/smooth-nonconvex-min-max-optimization
Adversarial Approaches in Machine Learning
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0:58:30

Studying Failure Modes of Deep Learning and Ways To Fix Them

Soheil Feizi (University of Maryland, College Park)
https://simons.berkeley.edu/talks/studying-failure-modes-deep-learning-and-ways-fix-them
Adversarial Approaches in Machine Learning
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0:46:36

Is Minimax Optimization the Right Framework to Understand Learning in Minimax Games?

Gauthier Gidel (Université de Montréal)
https://simons.berkeley.edu/talks/minimax-optimization-right-framework-understand-learning-minimax-games
Adversarial Approaches in Machine Learning
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0:41:45

Beyond Adversarial Approaches on Distributional Robustness

Qi Lei (Princeton)
https://simons.berkeley.edu/talks/beyond-adversarial-approaches-distributional-robustness
Adversarial Approaches in Machine Learning
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