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Convex Set Disjointness, Distributed Learning of Halfspaces, and Linear Programming
Presenter
- Shay Moran
May 12, 2020
IAS
Understanding Deep Neural Networks: From Generalization to Interpretability
Presenter
- Gitta Kutyniok
March 5, 2020
IAS
Bregman proximal methods for semidefinite optimization
Presenter
- Lieven Vandenberghe
February 28, 2020
IPAM
Decision-Making and Computational Psychiatry: An Explanatory and Pragmatic Perspective
Presenter
- Martin Paulus
February 20, 2020
IPAM
Computational Imaging: Reconciling Models and Learning
Presenter
- Ulugbek Kamilov
January 28, 2020
IPAM
Machine learning with neural networks: the importance of data structure
Presenter
- Marc Mezard
November 21, 2019
IPAM
Discovering interpretable and generalizable dynamical systems from data
Presenter
- Steve Brunton
October 29, 2019
IPAM
Accelerating Scientific Discovery through Interpretable Machine Learning and Intelligent Experimentation
Presenter
- Peter Frazier
October 16, 2019
IPAM