Videos

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Mixed Autonomy Traffic: A Reinforcement Learning Perspective Thumbnail

Mixed Autonomy Traffic: A Reinforcement Learning Perspective

Presenter
  • Cathy Wu
October 27, 2020
IPAM
Instance-Hiding Schemes for Private Distributed Learning Thumbnail

Instance-Hiding Schemes for Private Distributed Learning

Presenter
  • Sanjeev Arora
June 25, 2020
IAS
Learning Over-parameterized Neural Networks: From Neural Tangent Kernel to Mean-field Analysis Thumbnail

Learning Over-parameterized Neural Networks: From Neural Tangent Kernel to Mean-field Analysis

Presenter
  • Quanquan Gu
April 23, 2020
IPAM
PDE analysis for sampling dynamics and generative models Thumbnail

PDE analysis for sampling dynamics and generative models

Presenter
  • Jianfeng Lu
April 20, 2020
IPAM
An invitation to invariant theory Thumbnail

An invitation to invariant theory

Presenter
  • Viswambhara Makam
February 18, 2020
IAS
Constraint Satisfaction Problems and Probabilistic Combinatorics II Thumbnail

Constraint Satisfaction Problems and Probabilistic Combinatorics II

Presenter
  • Fotios Illiopoulos
November 26, 2019
IAS
Constraint Satisfaction Problems and Probabilistic Combinatorics I Thumbnail

Constraint Satisfaction Problems and Probabilistic Combinatorics I

Presenter
  • Fotios Illiopoulos
November 19, 2019
IAS
Learning structured models of physics Thumbnail

Learning structured models of physics

Presenter
  • Peter Battaglia
October 16, 2019
IPAM
Generalizing Hamiltonian Monte Carlo with Neural Networks Thumbnail

Generalizing Hamiltonian Monte Carlo with Neural Networks

Presenter
  • Jascha Sohl-Dickstein
September 26, 2019
IPAM
Understanding Neural Nets in Function Space Thumbnail

Understanding Neural Nets in Function Space

Presenter
  • Ankit Patel
September 26, 2019
IPAM
Reinforcement learning for molecular generation Thumbnail

Reinforcement learning for molecular generation

Presenter
  • Patrick Riley
September 24, 2019
IPAM
A primer on normalizing flows Thumbnail

A primer on normalizing flows

Presenter
  • Laurent Dinh
September 23, 2019
IPAM