Videos

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Towards a Theory of Representation Learning for Reinforcement Learning

Presenter
  • Alekh Agarwal
August 2, 2021
ICERM
Learning long-timescale behavior from short trajectory data Thumbnail

Learning long-timescale behavior from short trajectory data

Presenter
  • Jonathan Weare
May 11, 2021
IMSI
Sparse Random Features for Function Approximation Thumbnail

Sparse Random Features for Function Approximation

Presenter
  • Rachel Ward
April 13, 2021
IMSI
Computational/Statistical Gaps for Learning Neural Networks Thumbnail

Computational/Statistical Gaps for Learning Neural Networks

Presenter
  • Adam Klivans
April 13, 2021
IMSI
Towards Assurance-based Learning-enabled Cyber-Physical Systems Thumbnail

Towards Assurance-based Learning-enabled Cyber-Physical Systems

Presenter
  • Gabor Karsai
October 30, 2020
IPAM
Do Simpler Models Exist and How Can We Find Them? Thumbnail

Do Simpler Models Exist and How Can We Find Them?

Presenter
  • Cynthia Rudin
April 16, 2020
IAS
Sample-Based Learning Model Predictive Control Thumbnail

Sample-Based Learning Model Predictive Control

Presenter
  • Francesco Borrelli
February 26, 2020
IPAM
Learning to learn, learning to forget Thumbnail

Learning to learn, learning to forget

Presenter
  • Pratyush Tiwary
October 18, 2019
IPAM
Massively Parallel Hyperparameter Optimization Thumbnail

Massively Parallel Hyperparameter Optimization

Presenter
  • Ameet Talwalkar
November 27, 2018
IPAM
Topological uniqueness of self-expanders of small entropy Thumbnail

Topological uniqueness of self-expanders of small entropy

Presenter
  • Lu Wang
November 6, 2018
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II

Presenter
  • Russell Impagliazzo
November 14, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I

Presenter
  • Russell Impagliazzo
November 13, 2017
IAS