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Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Presenter
- Daniel Kuhn
February 26, 2020
IPAM
When More Data Do Not Provide A Better Description
Presenter
- Matthias Scheffler
October 19, 2018
IPAM
Tutorial - Algorithms for Sparse Optimization and Machine Learning
Presenter
- Stephen Wright
March 27, 2012
IMA
Pravesh Kothari - Algorithms Approaching the Threshold for Semirandom Planted Clique - IPAM at UCLA
Presenter
- Pravesh Kothari
March 1, 2024
IPAM
Large Neighborhood Search for ILPs with Relaxation-based and Contrastive-Learning-based Heuristics
Presenter
- Bistra Dilkina
April 28, 2023
ICERM
From Dynamics to Algorithms for Optimization and Sampling
Presenter
- Andre Wibisono
June 24, 2024
ICERM
Utilizing machine learning to accelerate computational catalyst search
Presenter
- Thomas Bliggard
December 8, 2016
IPAM
Learning the committor, free energy profile, and rates with ML-driven path sampling simulations
Presenter
- Roberto Covino
April 22, 2024
IMSI
Bruno Correia - Exploring new molecular representations for the design of biological function
Presenter
- Bruno Correia
January 26, 2023
IPAM