Videos

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Extending Generalization Theory to Address Phenomena in Contemporary Machine Learning Thumbnail

Extending Generalization Theory to Address Phenomena in Contemporary Machine Learning

Presenter
  • Shay Moran
October 17, 2023
IAS
Bin Yu - Interpreting Deep Neural Networks towards Trustworthiness - IPAM at UCLA Thumbnail

Bin Yu - Interpreting Deep Neural Networks towards Trustworthiness - IPAM at UCLA

Presenter
  • Bin Yu
January 9, 2023
IPAM
Effect of Dependence on the Convergence of Empirical Wasserstein Distance Thumbnail

Effect of Dependence on the Convergence of Empirical Wasserstein Distance

Presenter
  • Nabarun Deb
May 18, 2022
IMSI
Domain Adaptation Under Structural Causal Models Thumbnail

Domain Adaptation Under Structural Causal Models

Presenter
  • Yuansi Chen
March 7, 2022
SLMath
Spectral Gap in Regular Graphs and Hypergraphs Thumbnail

Spectral Gap in Regular Graphs and Hypergraphs

Presenter
  • Ioana Dumitriu
September 24, 2021
SLMath
Regularity theory and uniform convergence in the large data limit of graph Laplacian eigenvectors on random data clouds Thumbnail

Regularity theory and uniform convergence in the large data limit of graph Laplacian eigenvectors on random data clouds

Presenter
  • Nicolas Garcia Trillos
May 7, 2020
SLMath
From classical statistics to modern machine learning Thumbnail

From classical statistics to modern machine learning

Presenter
  • Mikhail Belkin
May 23, 2019
IPAM
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression Thumbnail

A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression

Presenter
  • Xiaoye Li
September 26, 2018
IPAM
Grain Boundary Physics, Machine Learning, and the "SOAP" Formalism Thumbnail

Grain Boundary Physics, Machine Learning, and the "SOAP" Formalism

Presenter
  • Gus Hart
November 16, 2016
IPAM
Asynchronous Parallel Computing in Signal Processing and Machine Learning Thumbnail

Asynchronous Parallel Computing in Signal Processing and Machine Learning

Presenter
  • Wotao Yin
January 25, 2016
IMA
Sampling Complex Energy Landscapes in Material Science Using Data-Driven Force Fields Thumbnail

Sampling Complex Energy Landscapes in Material Science Using Data-Driven Force Fields

Presenter
  • Cosmin Marinica
April 12, 2024
IMSI
Bayesian and Equivariant Force Fields for the Description of Metals in their Bulk, Surface, and Nano-Scale Forms Thumbnail

Bayesian and Equivariant Force Fields for the Description of Metals in their Bulk, Surface, and Nano-Scale Forms

Presenter
  • Cameron Owen
April 10, 2024
IMSI