Videos

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Bezout Inequality for Mixed volumes Thumbnail

Bezout Inequality for Mixed volumes

Presenter
  • Artem Zvavitch
November 15, 2017
MSRI
Uncertainty Quantification and Hypocoercivity Based Sensitivity Analysis for Multiscale Kinetic Equations with Random Inputs Thumbnail

Uncertainty Quantification and Hypocoercivity Based Sensitivity Analysis for Multiscale Kinetic Equations with Random Inputs

Presenter
  • Shi Jin
November 15, 2017
IPAM
Automorphic forms and motivic cohomology I Thumbnail

Automorphic forms and motivic cohomology I

Presenter
  • Akshay Venkatesh
November 14, 2017
IAS
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
Robust MCMC Sampling with Non-Gaussian and Hierarchical Priors Thumbnail

Robust MCMC Sampling with Non-Gaussian and Hierarchical Priors

Presenter
  • Matt Dunlop
November 14, 2017
IPAM
On matrix-valued log-concave functions Thumbnail

On matrix-valued log-concave functions

Presenter
  • Dario Cordero-Erausquin
November 14, 2017
MSRI
Billiards and Caustics Thumbnail

Billiards and Caustics

Presenter
  • Shiri Artstein
November 14, 2017
MSRI
Uncertainty Quantification and Thermodynamic Formalism for Stochastic Systems Thumbnail

Uncertainty Quantification and Thermodynamic Formalism for Stochastic Systems

Presenter
  • Luc Rey-Bellet
November 14, 2017
IPAM
Subgaussian and lacunary uniformly bounded orthonormal systems Thumbnail

Subgaussian and lacunary uniformly bounded orthonormal systems

Presenter
  • Gilles Pisier
November 14, 2017
MSRI
Refinements of Gaussian concentration for norms Thumbnail

Refinements of Gaussian concentration for norms

Presenter
  • Grigoris Paouris
November 14, 2017
MSRI
Decomposition theorem for semisimple algebraic holonomic D-modules Thumbnail

Decomposition theorem for semisimple algebraic holonomic D-modules

Presenter
  • Takuro Mochizuki
November 13, 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