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Deanna Needell - Using Algebraic Factorizations for Interpretable Learning
Presenter
- Deanna Needell
September 13, 2022
IPAM
Sparsity-enforced regularizations for optimal learning of high-dimensional systems from random data
Presenter
- Clayton Webster
October 17, 2018
IPAM
Direct and dual Information Bottleneck frameworks for Deep Learning
Presenter
- Tali Tishby
February 24, 2020
IAS
Learning from Conjugated Polymers: Statistical Data Mining from 50 Million and Counting
Presenter
- Geoffrey Hutchison
December 6, 2016
IPAM
Partial Difference Operators on Weighted Graphs for Point Cloud Processing - From 3D Surfaces to Machine Learning
Presenter
- Daniel Tenbrinck
February 9, 2016
IPAM
Joshua Schrier - Creating Complex Scientific Workflows that Reach into the Real World - IPAM at UCLA
Presenter
- Joshua Schrier
May 2, 2023
IPAM
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Presenter
- Daniel Kuhn
February 26, 2020
IPAM
Factorizations, centers, and the Jucys—Murphy elements of the Hecke algebra
Presenter
- Sarah Brauner
September 18, 2025
ICERM
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