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Learning probability distributions; What can, What can't be done
Presenter
- Shai Ben-David
May 7, 2020
IAS
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
Presenter
- Sammy Wu Fung
May 5, 2020
SLMath
A Deeper Understanding of the Quadratic Wasserstein Metric in Inverse Data Matching
Presenter
- Yunan Yang
May 5, 2020
SLMath
A Framework for Quadratic Form Maximization over Convex Sets
Presenter
- Vijay Bhattiprolu
April 28, 2020
IAS
A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics
Presenter
- Maxim Raginsky
April 21, 2020
IPAM
A Lyapunov analysis for accelerated gradient methods: From deterministic to stochastic case
Presenter
- Maxime Laborde
April 20, 2020
IPAM
A variational approach to the regularity theory for the Monge-Ampère equation
Presenter
- Felix Otto
April 20, 2020
IAS
A Multi-Pronged Approach to Computational Challenges in HJ Reachability
Presenter
- Mo Chen
April 2, 2020
IPAM