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Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA
Presenter
- Paul Grigas
March 3, 2023
IPAM
Dealing with COVID-19 in Theory and Practice: Session II: Data Science I
Presenters
- Mihaela van der Schaar
- Michael Jordan
October 29, 2020
IMSI
How to assess scientific machine learning models? Prediction errors and predictive uncertainty quantification
Presenter
- Matthias Rupp
November 21, 2019
IPAM
Deep Learning Dive into the Scanning Transmission Electron Microscopy: Materials Design, Learning Physics, and Atomic Manipulation
Presenter
- Sergei Kalinin
October 17, 2019
IPAM
Molecular design blueprints: materials and catalysts from new simulation and machine learning tools
Presenter
- Heather Kulik
October 15, 2019
IPAM
Nikos Tsilivis - The Price of Implicit Bias in Robust ML - IPAM at UCLA
Presenter
- Nikos Tsilivis
October 14, 2024
IPAM
Homotopy Continuation Techniques for Optimization in Variational Inference
Presenter
- Emma Cobian
December 15, 2023
IMSI
Yihui Quek - Signal and noise: learning with random quantum circuits and other agents of chaos
Presenter
- Yihui Quek
October 16, 2023
IPAM
