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Tutorial - Algorithms for Sparse Optimization and Machine Learning
Presenter
- Stephen Wright
March 27, 2012
IMA
Statistical Learning and Bayesian Inference and Topology
Presenter
- Sayan Mukherjee
October 2, 2013
IMA
Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA
Presenter
- Pascal Van Hentenryck
March 1, 2023
IPAM
Louis Martin Rousseau - Combining Machine Learning & Optimization for efficient healthcare delivery
Presenter
- Louis-Martin Rousseau
March 1, 2023
IPAM
Jutta Rogal - Machine learning collective variables for sampling of structural transformations
Presenter
- Jutta Rogal
January 26, 2023
IPAM
Stefan Chmiela - Accurate global machine learning force fields for molecules with hundreds of atoms
Presenter
- Stefan Chmiela
January 25, 2023
IPAM
Steve Brunton - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics
Presenter
- Steve Brunton
January 24, 2023
IPAM
Marivi Fernandez Serra - Machine learning to improve the exchange and correlation functional in DFT
Presenter
- Marivi Fernandez-Serra
May 26, 2022
IPAM
Mathematical foundations for human-level intelligence (Part 1): Cooperative communication as belief transport
Presenter
- Patrick Shafto
November 22, 2021
IAS
New Problems and Perspectives on Sampling, Memory, and Learning
Presenter
- Gregory Valiant
April 13, 2021
IMSI
How to learn from a single network: Relational learning for social network domains
Presenter
- Jennifer Neville
March 28, 2012
IMA