Videos

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Jamie Haddock - Hierarchical and neural nonnegative tensor factorizations - IPAM at UCLA Thumbnail

Jamie Haddock - Hierarchical and neural nonnegative tensor factorizations - IPAM at UCLA

Presenter
  • Jamie Haddock
December 2, 2022
IPAM
Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis Thumbnail

Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis

Presenter
  • Mary Scott
December 1, 2022
IPAM
Piotr Indyk - Learning-Based Low-Rank Approximations - IPAM at UCLA Thumbnail

Piotr Indyk - Learning-Based Low-Rank Approximations - IPAM at UCLA

Presenter
  • Piotr Indyk
November 29, 2022
IPAM
Naomi Ginsberg - Formation and function of assembled nanomaterials with multimodal X-ray scattering Thumbnail

Naomi Ginsberg - Formation and function of assembled nanomaterials with multimodal X-ray scattering

Presenter
  • Naomi Ginsberg Ginsberg
November 28, 2022
IPAM
Information-directed Exploration in Bandits and Reinforcement Learning Thumbnail

Information-directed Exploration in Bandits and Reinforcement Learning

Presenter
  • Andreas Krause
April 16, 2021
IMSI

Differential privacy, deep learning, and synthetic data generation

Presenter
  • Rachel Cummings
April 11, 2021
ICERM
The Peculiar Optimization and Regularization Challenges in Multi-Task Learning and Meta-Learning Thumbnail

The Peculiar Optimization and Regularization Challenges in Multi-Task Learning and Meta-Learning

Presenter
  • Chelsea Finn
April 16, 2020
IAS
Improving PDE solvers and PDE-constrained optimization with deep learning and differentiable programming Thumbnail

Improving PDE solvers and PDE-constrained optimization with deep learning and differentiable programming

Presenter
  • Stephan Hoyer
October 18, 2019
IPAM
Deep Learning Opening Workshop: Solution Estimators in Stochastic Optimization, Amitabh Basu Thumbnail

Deep Learning Opening Workshop: Solution Estimators in Stochastic Optimization, Amitabh Basu

August 12, 2019
SAMSI

The Information Bottleneck theory of Deep Learning and the computational benefit of the hidden layers

Presenter
  • Naftali Tishby
February 21, 2019
ICERM
Deep Learning, Self-Taught Learning and Unsupervised Feature Learning Thumbnail

Deep Learning, Self-Taught Learning and Unsupervised Feature Learning

Presenter
  • Andrew Ng
July 10, 2012
IPAM
Optimization, Learning and the Universality of Mirror Descent Thumbnail

Optimization, Learning and the Universality of Mirror Descent

Presenter
  • Nathan (Nati) Srebro
March 29, 2012
IMA