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New Progress on Stochastic Variance-Reduced Methods in Machine Learning: Adaptive Restart and Distributed Optimization
Presenter
- Qihang Lin
December 12, 2017
IMA
High-throughput Data and New representations for Models and Machine Learning
Presenter
- Gus Hart
February 24, 2015
IPAM
Matrix-Mimetic Tensor Algebra: Optimal Decompositions and Equivariant Learning
Presenter
- Lior Horesh
February 4, 2026
ICERM
Advances in certifiable model reduction: parametric LTI systems and operator learning
Presenter
- Akil Narayan
November 13, 2025
IMSI
On kernelized particle systems for sampling and quantization
Presenter
- Youssef Marzouk
April 2, 2025
IMSI
Unpacking the ingredients of atomic representations: machine learning force fields and beyond
Presenter
- Jigyasa Nigam
April 9, 2024
IMSI
Di Fang - Numerical Analysis for Hamiltonian Simulation and Hamiltonian Learning - IPAM at UCLA
Presenter
- Di Fang
February 7, 2024
IPAM
Nonstandard minimax rates in nonparametric latent variable models and representation learning
Presenter
- Bryon Aragam
December 11, 2023
IMSI
Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning
Presenter
- Samuel Blau
May 1, 2023
IPAM
Large Neighborhood Search for ILPs with Relaxation-based and Contrastive-Learning-based Heuristics
Presenter
- Bistra Dilkina
April 28, 2023
ICERM