Videos

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Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II

Presenter
  • Russell Impagliazzo
November 14, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I

Presenter
  • Russell Impagliazzo
November 13, 2017
IAS
From particles to linear hydrodynamic equations, part 2 Thumbnail

From particles to linear hydrodynamic equations, part 2

Presenter
  • Isabelle Gallagher
October 26, 2015
SLMath

Student Presentation: Evaluating the Strength of Evidence in DWI Cases Presented in North Carolina

Presenters
  • Brady Melton
  • Rebecca Law
August 12, 2014
MBI
Computational Complexity in Mechanism Design Thumbnail

Computational Complexity in Mechanism Design

Presenter
  • Jing Chen
November 27, 2012
IAS
Moment-Angle Complexes, Spaces of Hard-Disks and Their Associated Stable Decompositions Thumbnail

Moment-Angle Complexes, Spaces of Hard-Disks and Their Associated Stable Decompositions

Presenter
  • Fred Cohen
January 10, 2011
IAS
Chaotic billiards Thumbnail

Chaotic billiards

Presenter
  • Nikolai Chernov
January 23, 2007
SLMath
Expanding the Reach of P not equal to NP: the Minimum Circuit Size Problem with a Random Oracle is NP-hard Thumbnail

Expanding the Reach of P not equal to NP: the Minimum Circuit Size Problem with a Random Oracle is NP-hard

Presenter
  • Rahul Ilango
February 5, 2024
IAS
Convergence of Unitary Representations and Spectral Gaps of Manifolds Thumbnail

Convergence of Unitary Representations and Spectral Gaps of Manifolds

Presenter
  • Michael Magee
January 29, 2024
IAS
Hidden Variables in Linear Non-Gaussian Causal Models Thumbnail

Hidden Variables in Linear Non-Gaussian Causal Models

Presenter
  • Elina Robeva
May 5, 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
High-dimensional cost landscape and gradient descent in Tensor PCA and its generalisations Thumbnail

High-dimensional cost landscape and gradient descent in Tensor PCA and its generalisations

Presenter
  • Chiara Cammarota
November 19, 2019
IPAM