Videos

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Approximation and learning with tree tensor networks Thumbnail

Approximation and learning with tree tensor networks

Presenter
  • Anthony Nouy
March 30, 2021
IPAM
Decision-focused learning: integrating downstream combinatorics in ML Thumbnail

Decision-focused learning: integrating downstream combinatorics in ML

Presenter
  • Bistra Dilkina
February 25, 2021
IPAM
On Sparse Linear Programming and (simple) neural networks Thumbnail

On Sparse Linear Programming and (simple) neural networks

Presenter
  • Joan Bruna
February 24, 2021
IPAM
Solving Mixed Integer Programs Using Neural Networks Thumbnail

Solving Mixed Integer Programs Using Neural Networks

Presenter
  • Vinod Nair
February 24, 2021
IPAM
Reinforcement Learning for Integer Programming: Learning to Cut Thumbnail

Reinforcement Learning for Integer Programming: Learning to Cut

Presenter
  • Yunhao Tang
February 23, 2021
IPAM
Structured ML Training via Conditional Gradients Thumbnail

Structured ML Training via Conditional Gradients

Presenter
  • Sebastian Pokutta
February 23, 2021
IPAM
The Transformer Network for the Traveling Salesman Problem Thumbnail

The Transformer Network for the Traveling Salesman Problem

Presenter
  • Xavier Bresson
February 22, 2021
IPAM
Ramanujan Conjecture and the Density Hypothesis Thumbnail

Ramanujan Conjecture and the Density Hypothesis

Presenter
  • Shai Evra
November 19, 2020
IAS
Learning with Few Labeled Data Thumbnail

Learning with Few Labeled Data

Presenter
  • Pratik Chaudhari
October 6, 2020
IPAM
Gene expression recovery in single cell transcriptomic data Thumbnail

Gene expression recovery in single cell transcriptomic data

Presenter
  • Nancy Zhang
September 10, 2020
IAS