Videos

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DISTRIBUTIONALLY ROBUST LEARNING OVER DEEP NEURAL NETWORKS AND THEIR ASSOCIATED REGULARIZED RISK Thumbnail

DISTRIBUTIONALLY ROBUST LEARNING OVER DEEP NEURAL NETWORKS AND THEIR ASSOCIATED REGULARIZED RISK

Presenter
  • Camilo Garcia Trillos
May 24, 2022
IMSI
Some stories about Brownian interacting systems with absorption Thumbnail

Some stories about Brownian interacting systems with absorption

Presenter
  • Wenpin Tang
May 24, 2022
IMSI
Market making algorithms: the next success of Reinforcement Learning? Thumbnail

Market making algorithms: the next success of Reinforcement Learning?

Presenter
  • Olivier Gueant
May 24, 2022
IMSI
Interpreting Deep Neural Networks towards Trustworthiness Thumbnail

Interpreting Deep Neural Networks towards Trustworthiness

Presenter
  • Bin Yu
May 24, 2022
IAS
Foundations for Learning in the Age of Big Data II Thumbnail

Foundations for Learning in the Age of Big Data II

Presenter
  • Maria Balcan
May 24, 2022
IAS
Introduction to Interpretable Machine Learning II Thumbnail

Introduction to Interpretable Machine Learning II

Presenter
  • Cynthia Rudin
May 24, 2022
IAS
Shiwei Zhang - Auxiliary-field methods for quantum materials - IPAM at UCLA Thumbnail

Shiwei Zhang - Auxiliary-field methods for quantum materials - IPAM at UCLA

Presenter
  • Shiwei Zhang
May 23, 2022
IPAM
Eran Rabani - Stochastic Density Functional Theory Thumbnail

Eran Rabani - Stochastic Density Functional Theory

Presenter
  • Eran Rabani
May 23, 2022
IPAM
Jonathan Weare - A fast Jacobi iteration with repeated random sparsification Thumbnail

Jonathan Weare - A fast Jacobi iteration with repeated random sparsification

Presenter
  • Jonathan Weare
May 23, 2022
IPAM
Policy Gradient is Essentially Policy Evaluation Thumbnail

Policy Gradient is Essentially Policy Evaluation

Presenter
  • Xunyu Zhou
May 23, 2022
IMSI
Optimal Stopping via Randomized Neural Networks Thumbnail

Optimal Stopping via Randomized Neural Networks

Presenter
  • Josef Teichmann
May 23, 2022
IMSI
Market making and incentives design in the presence of a dark pool: a deep reinforcement learning approach Thumbnail

Market making and incentives design in the presence of a dark pool: a deep reinforcement learning approach

Presenter
  • Mathieu Rosenbaum
May 23, 2022
IMSI