Videos

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Massive Parallelization to Learn from Massive Data Thumbnail

Massive Parallelization to Learn from Massive Data

Presenter
  • Marc Suchard
June 25, 2013
IMA
Non-parametric Sparse Additive Auto-regressive Network Models Thumbnail

Non-parametric Sparse Additive Auto-regressive Network Models

Presenter
  • Garvesh Raskutti
April 26, 2018
IMA

Non-parametric analysis of mass action models and data

Presenter
  • Heather Harrington
May 8, 2012
MBI
Algebraic statistics in non-parametric information geometry Thumbnail

Algebraic statistics in non-parametric information geometry

Presenter
  • Giovanni Pistone
December 18, 2008
SLMath
The Mysteries of Adversarial Robustness for Non-parametric Methods and Neural Networks Thumbnail

The Mysteries of Adversarial Robustness for Non-parametric Methods and Neural Networks

Presenter
  • Kamalika Chaudhuri
April 16, 2021
IMSI
Manifold coordinates with physical meaning, and applications in MDS data Thumbnail

Manifold coordinates with physical meaning, and applications in MDS data

Presenter
  • Hanyu Zhang
April 25, 2024
IMSI
Operator-Theoretic Learning and Control: A Paradigm Shift in Stochastic Systems Theory Thumbnail

Operator-Theoretic Learning and Control: A Paradigm Shift in Stochastic Systems Theory

Presenter
  • Boris Houska
October 31, 2025
IMSI
Deep Learning for Medical Image Registration Thumbnail

Deep Learning for Medical Image Registration

Presenter
  • Marc Niethammer
January 31, 2020
IPAM
Manifold Learning for the Sciences Thumbnail

Manifold Learning for the Sciences

Presenter
  • Marina Meila
May 1, 2019
IPAM
Applications of L^p Theory of Sparse Graph Limits Thumbnail

Applications of L^p Theory of Sparse Graph Limits

Presenter
  • Christian Borgs
May 19, 2015
IMA
Gaussian Processes (II) Thumbnail

Gaussian Processes (II)

Presenter
  • Raquel Urtasun
August 2, 2013
IPAM
Gaussian Processes (I) Thumbnail

Gaussian Processes (I)

Presenter
  • Raquel Urtasun
August 2, 2013
IPAM