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New Problems and Perspectives on Sampling, Memory, and Learning
Presenter
- Gregory Valiant
April 13, 2021
IMSI
New Progress on Stochastic Variance-Reduced Methods in Machine Learning: Adaptive Restart and Distributed Optimization
Presenter
- Qihang Lin
December 12, 2017
IMA
Partial Difference Operators on Weighted Graphs for Point Cloud Processing - From 3D Surfaces to Machine Learning
Presenter
- Daniel Tenbrinck
February 9, 2016
IPAM
Carlos Bravo Prieto - Understanding quantum machine learning also requires rethinking generalization
Presenter
- Carlos Prieto
October 19, 2023
IPAM
Validation and Reproducibility by Geometry, for Unsupervised Learning
Presenter
- Marina Meila
October 31, 2019
IPAM
Towards a Digital Twin Framework with Uncertainty Quantification: Machine Learning, Bayesian Optimization and Model Predictive Control
Presenter
- Wei Chen
April 23, 2025
IMSI
Deep Gaussian Process Surrogates for Computer Experiments
Presenter
- Robert Gramacy
August 31, 2022
IMSI
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Presenter
- Daniel Kuhn
February 26, 2020
IPAM
Generative and variational modeling for quantum many-body physics
Presenter
- Giuseppe Carleo
September 27, 2019
IPAM
Learning from Conjugated Polymers: Statistical Data Mining from 50 Million and Counting
Presenter
- Geoffrey Hutchison
December 6, 2016
IPAM
