Videos

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Reinforcement Learning, Bit by Bit

Presenter
  • Xiuyuan Lucy Lu
August 4, 2021
ICERM

On The Convergence Rate Of Entropy-regularized Natural Policy Gradient With Linear Function

Presenter
  • R. Srikant
August 3, 2021
ICERM

Batch Value Function Tournament

Presenter
  • Nan Jiang
August 3, 2021
ICERM

A Boosting Approach to Reinforcement Learning

Presenter
  • Elad Hazan
August 2, 2021
ICERM
Assumption-free prediction intervals for black-box regression algorithms Thumbnail

Assumption-free prediction intervals for black-box regression algorithms

Presenter
  • Aaditya Ramdas
April 21, 2020
IAS
Momentum in Stochastic Gradient Descent and Deep Neural Nets Thumbnail

Momentum in Stochastic Gradient Descent and Deep Neural Nets

Presenter
  • Bao Wang
January 29, 2020
IPAM

Approximate Message Passing Algorithms for High-dimensional Statistical Estimation in Image Processing

Presenter
  • Cynthia Rush
April 30, 2019
ICERM
A discussion of some algorithms for Hamilton-Jacobi equations in density space II Thumbnail

A discussion of some algorithms for Hamilton-Jacobi equations in density space II

Presenter
  • Yat Tin Chow
June 21, 2018
IPAM
A discussion of some algorithms for Hamilton-Jacobi equations in density space I Thumbnail

A discussion of some algorithms for Hamilton-Jacobi equations in density space I

Presenter
  • Yat Tin Chow
June 19, 2018
IPAM
Sampling efficiently metastable dynamics: algorithms and mathematical analysis - Part 2 Thumbnail

Sampling efficiently metastable dynamics: algorithms and mathematical analysis - Part 2

Presenter
  • Tony Lelièvre
September 13, 2017
IPAM
Sampling efficiently metastable dynamics: algorithms and mathematical analysis - Part 1 Thumbnail

Sampling efficiently metastable dynamics: algorithms and mathematical analysis - Part 1

Presenter
  • Tony Lelièvre
September 12, 2017
IPAM

Incorporation of Geometry into Learning Algorithms and Medicine

Presenter
  • Alexander Cloninger
December 5, 2016
IMA