Videos

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Gradient Descent Learns Linear Dynamical Systems Thumbnail

Gradient Descent Learns Linear Dynamical Systems

Presenter
  • Moritz Hardt
May 18, 2016
IMA
Non-orientable knot genus and the Jones polynomial Thumbnail

Non-orientable knot genus and the Jones polynomial

Presenter
  • Efstratia Kalfagianni
October 20, 2015
IAS
Central limit theorem for linear eigenvalue statistics of diluted random matrices Thumbnail

Central limit theorem for linear eigenvalue statistics of diluted random matrices

Presenter
  • Mariya Shcherbyna
September 21, 2010
SLMath
Pathological scattering in a linear slow-light layered medium Thumbnail

Pathological scattering in a linear slow-light layered medium

Presenter
  • Stephen Shipman
April 26, 2017
IMA
The singularity of symbolic matrices Thumbnail

The singularity of symbolic matrices

Presenter
  • Avi Wigderson
February 9, 2016
IAS

Tight Sampling Bounds for Eigenvalue Approximation

Presenter
  • David Woodruff
February 6, 2026
ICERM
Approximating Max Cut with Subexponential Linear Programs Thumbnail

Approximating Max Cut with Subexponential Linear Programs

Presenter
  • Tselil Schramm
March 29, 2021
IAS

Non-parametric analysis of mass action models and data

Presenter
  • Heather Harrington
May 8, 2012
MBI