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Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Presenter
- Daniel Kuhn
February 26, 2020
IPAM
Predictive data science for physical systems- From model reduction to scientific machine learning
Presenter
- Karen Willcox
February 20, 2020
ICERM
Connectome-based modeling of real world clinical outcomes in addictions
Presenter
- Sarah Yip
February 19, 2020
IPAM
Algorithm and Hardness for Kernel Matrices in Numerical Linear Algebra and Machine Learning
Presenter
- Zhao Song
February 4, 2020
IAS
Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models
Presenter
- Chris Sutton
November 21, 2019
IPAM
Improving PDE solvers and PDE-constrained optimization with deep learning and differentiable programming
Presenter
- Stephan Hoyer
October 18, 2019
IPAM
Molecular design blueprints: materials and catalysts from new simulation and machine learning tools
Presenter
- Heather Kulik
October 15, 2019
IPAM
Background reduction in searches for gravitational-wave signals from supernovae: A machine learning approach
Presenter
- Marco Cavaglia
February 1, 2019
IPAM
Deep Spatial Learning for Forensic Geolocation with Microbiome Data
Presenter
- Brian Reich
April 25, 2018
IMA
Nonlinear dimensionality reduction for faster kernel methods in machine learning.
Presenter
- Christopher Musco
February 12, 2018
IAS