Videos

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Recent Progress in Randomness Extraction Thumbnail

Recent Progress in Randomness Extraction

Presenter
  • Eshan Chattopadhyay
March 7, 2023
IAS
Homogeneous Structures in Subset Sums and Non-averaging Sets Thumbnail

Homogeneous Structures in Subset Sums and Non-averaging Sets

Presenter
  • David Conlon
March 7, 2023
IAS
Degree Lowering Along Arithmetic Progressions Thumbnail

Degree Lowering Along Arithmetic Progressions

Presenter
  • Borys Kuca
March 6, 2023
IAS
Two (More) Algorithms for Set Cover Thumbnail

Two (More) Algorithms for Set Cover

Presenter
  • Anupam Gupta
March 6, 2023
IAS
Existence of Quasigeodesic Anosov Flows in Hyperbolic 3-Manifolds Thumbnail

Existence of Quasigeodesic Anosov Flows in Hyperbolic 3-Manifolds

Presenter
  • Sergio Fenley
March 6, 2023
IAS
On Bennequin Type Inequality for Symplectic Caps of (S3,ξstd). Thumbnail

On Bennequin Type Inequality for Symplectic Caps of (S3,ξstd).

Presenter
  • Anubhav Mukherjee
March 6, 2023
IAS

On Dantzig-Wolfe Relaxation of Rank Constrained Optimization: Exactness, Rank Bounds, and Algorithms

Presenter
  • Weijun Xie
March 3, 2023
ICERM

Ideal polyhedral relaxations of non-polyhedral sets

Presenter
  • Andres Gomez
March 3, 2023
ICERM
Rahul Mazumder - Discrete Optimization-aided Structured Learning at Scale - IPAM at UCLA Thumbnail

Rahul Mazumder - Discrete Optimization-aided Structured Learning at Scale - IPAM at UCLA

Presenter
  • Rahul Mazumder
March 3, 2023
IPAM
Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA Thumbnail

Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA

Presenter
  • Paul Grigas
March 3, 2023
IPAM
Tina Eliassi-Rad - The Pitfalls of Using ML-based Optimization - IPAM at UCLA Thumbnail

Tina Eliassi-Rad - The Pitfalls of Using ML-based Optimization - IPAM at UCLA

March 3, 2023
IPAM

On practical first order methods for LP

Presenter
  • Daniel Espinoza
March 3, 2023
ICERM