Videos

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Sparser Johnson-Lindenstrauss Transforms Thumbnail

Sparser Johnson-Lindenstrauss Transforms

Presenter
  • Jelani Nelson
February 16, 2012
IMA
Approximating the covariance matrix by the empirical covariance matrices; non-limiting random matrix approach Thumbnail

Approximating the covariance matrix by the empirical covariance matrices; non-limiting random matrix approach

Presenter
  • Nicole Jaegermann
March 13, 2015
SLMath
Universality results for hamiltonian perrturbations of Hamiltonian PDEs: the 2 component case Thumbnail

Universality results for hamiltonian perrturbations of Hamiltonian PDEs: the 2 component case

Presenter
  • Tamara Grava
September 20, 2010
SLMath
Universality in the bulk of the spectrum for Hermitian random matrices Thumbnail

Universality in the bulk of the spectrum for Hermitian random matrices

Presenter
  • Sandrine Péché
September 20, 2010
SLMath
What the heck is Haar measure? Thumbnail

What the heck is Haar measure?

Presenter
  • Persi Diaconis
July 7, 2009
SLMath
Random Permutations 2 Thumbnail

Random Permutations 2

Presenter
  • Jinho Baik
July 6, 2009
SLMath
Random Permutations Thumbnail

Random Permutations

Presenter
  • Jinho Baik
July 6, 2009
SLMath

Random matrix limits via stochastic differential equations

Presenter
  • Diane Holcomb
March 1, 2018
ICERM

Dynamics of a planar Coulomb gas

Presenter
  • Djalil Chafaï
February 26, 2018
ICERM

Self-similarity in the eigenvalues of random matrices

Presenter
  • Elizabeth Meckes
October 17, 2016
ICERM
Stochastic Partial Differential Equations Graduate Summer School, 24 Thumbnail

Stochastic Partial Differential Equations Graduate Summer School, 24

Presenter
  • Yuri Bakhtin
July 17, 2014
SLMath

Permanent estimators via random matrices

Presenter
  • Mark Rudelson
May 8, 2014
ICERM