Videos

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Analyzing the Max Entropy Algorithm for TSP Thumbnail

Analyzing the Max Entropy Algorithm for TSP

Presenter
  • Nathan Klein
February 20, 2024
IAS
Introductory Workshop: Mathematics and Computer Science of Market and Mechanism Design: "Mechanism Design for the Classroom (Optimization of Scoring Rules)" Thumbnail

Introductory Workshop: Mathematics and Computer Science of Market and Mechanism Design: "Mechanism Design for the Classroom (Optimization of Scoring Rules)"

Presenter
  • Jason Hartline
September 12, 2023
SLMath
The Modular Mandelbrot Set Thumbnail

The Modular Mandelbrot Set

Presenter
  • Luciana Luna Lomonaco
May 5, 2022
SLMath
Log-concave polynomials in theory and applications - Part 2 Thumbnail

Log-concave polynomials in theory and applications - Part 2

Presenter
  • Cynthia Vinzant
February 2, 2021
IAS
Log-concave polynomials in theory and applications Thumbnail

Log-concave polynomials in theory and applications

Presenter
  • Cynthia Vinzant
January 26, 2021
IAS
Log-concavity, matroids and expanders Thumbnail

Log-concavity, matroids and expanders

Presenter
  • Cynthia Vinzant
October 19, 2020
IAS
Simply Exponential Approximation of the Permanent of Positive Semidefinite Matrices Thumbnail

Simply Exponential Approximation of the Permanent of Positive Semidefinite Matrices

Presenter
  • Amin Saberi
April 13, 2018
IPAM
Defining SLE in multiply connected domains using the Brownian Loop Measure Thumbnail

Defining SLE in multiply connected domains using the Brownian Loop Measure

Presenter
  • Gregory Lawler
March 26, 2012
SLMath
Surbhi Goel - Beyond Worst-case Guarantees for Sequential Prediction: Robustness via Abstention Thumbnail

Surbhi Goel - Beyond Worst-case Guarantees for Sequential Prediction: Robustness via Abstention

Presenter
  • Surbhi Goel
March 1, 2024
IPAM
A Characterization of Multiclass Learnability Thumbnail

A Characterization of Multiclass Learnability

Presenter
  • Nataly Brukhim
December 13, 2022
IAS
Learning probability distributions; What can, What can't be done Thumbnail

Learning probability distributions; What can, What can't be done

Presenter
  • Shai Ben-David
May 7, 2020
IAS
Spectral Independence in High-dimensional Expanders and Applications to the Hardcore Model Thumbnail

Spectral Independence in High-dimensional Expanders and Applications to the Hardcore Model

Presenter
  • Kuikui Liu
February 27, 2020
IAS