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Nonstandard minimax rates in nonparametric latent variable models and representation learning
Presenter
- Bryon Aragam
December 11, 2023
IMSI
Hamsa Bastani - Decision-Aware Learning for Global Health Supply Chains - IPAM at UCLA
Presenter
- Hamsa Bastani
March 1, 2023
IPAM
Multi-scale modeling of materials revisited: Accelerated computing and machine learning
Presenter
- Kaushik Bhattacharya
February 15, 2021
IMSI
Algorithm and Hardness for Kernel Matrices in Numerical Linear Algebra and Machine Learning
Presenter
- Zhao Song
February 4, 2020
IAS
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
Data-efficient kernel methods for learning differential equations and their solution operators
Presenter
- Bamdad Hosseini
October 8, 2025
IMSI
Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy
Presenter
- Pilar Cossio
April 25, 2024
IMSI
Unpacking the ingredients of atomic representations: machine learning force fields and beyond
Presenter
- Jigyasa Nigam
April 9, 2024
IMSI
Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA
Presenter
- Paul Grigas
March 3, 2023
IPAM
Dealing with COVID-19 in Theory and Practice: Session II: Data Science I
Presenters
- Mihaela van der Schaar
- Michael Jordan
October 29, 2020
IMSI