Exploring Min Max Optimization From A Dynamical Systems Viewpoint
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- Constantinos Daskalakis (MIT) https://simons.berkeley.edu/talks/
- Constantinos Daskalakis (MIT) https://simons.berkeley.edu/talks/
- Meisam Razaviyayn (University of Southern California) ...
- Constantinos Daskalakis (MIT) https://simons.berkeley.edu/talks/
- The 32nd International Conference on Algorithmic Learning Theory (ALT 2021) Title: Last-Iterate Convergence Rates for
In-Depth Information on Min Max Optimization From A Dynamical Systems Viewpoint
Panayotis Mertikopoulos (CNRS) https://simons.berkeley.edu/talks/ LEAD: Least Action Constantinos Daskalakis (MIT) https://simons.berkeley.edu/talks/ Emmanouil Zampetakis (UC Berkeley) https://simons.berkeley.edu/talks/tbd-361 Adversarial Approaches in Machine Learning.
... at Mila as a long-term intern in Montreal and he's going to be talking about least action
In summary, understanding Min Max Optimization From A Dynamical Systems Viewpoint gives us a better perspective.