Videos

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Patrick Shafto - Common Ground in Cooperative Communication - IPAM at UCLA Thumbnail

Patrick Shafto - Common Ground in Cooperative Communication - IPAM at UCLA

Presenter
  • Patrick Shafto
October 15, 2024
IPAM
Workshop: Mathematics and Computer Science of Market and Mechanism Design: "Modeling Human Strategic Behavior from a Machine Learning Perspective" Thumbnail

Workshop: Mathematics and Computer Science of Market and Mechanism Design: "Modeling Human Strategic Behavior from a Machine Learning Perspective"

Presenter
  • Kevin Leyton-Brown
September 14, 2023
SLMath
Gabor Csányi - Machine learning potentials: from polynomials to message passing networks Thumbnail

Gabor Csányi - Machine learning potentials: from polynomials to message passing networks

Presenter
  • Gabor Csányi
April 17, 2023
IPAM
Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging Thumbnail

Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging

Presenter
  • Ian Robinson
October 13, 2022
IPAM
Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA Thumbnail

Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA

Presenter
  • Demetri Psaltis
October 13, 2022
IPAM
Some Recent Insights on Transfer-Learning Thumbnail

Some Recent Insights on Transfer-Learning

Presenter
  • Samory Kpotufe
April 16, 2021
IMSI
Computational/Statistical Gaps for Learning Neural Networks Thumbnail

Computational/Statistical Gaps for Learning Neural Networks

Presenter
  • Adam Klivans
April 13, 2021
IMSI
Performative Prediction Thumbnail

Performative Prediction

Presenter
  • Moritz Hardt
April 13, 2021
IMSI
Some Recent Insights on Transfer Learning Thumbnail

Some Recent Insights on Transfer Learning

Presenter
  • Samory Kpotufe
March 31, 2020
IAS
Evidence of local entropy optimization in machine learning, physics and neuroscience Thumbnail

Evidence of local entropy optimization in machine learning, physics and neuroscience

Presenter
  • Riccardo Zecchina
November 20, 2019
IPAM
Multiscale analysis of accelerated gradient methods in machine learning Thumbnail

Multiscale analysis of accelerated gradient methods in machine learning

Presenter
  • Mohammad Farazmand
October 28, 2019
IPAM
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning Thumbnail

Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning

Presenter
  • Michael Mahoney
October 14, 2019
IPAM