Videos

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Robustness and Strategic Concerns in Machine Learning Thumbnail

Robustness and Strategic Concerns in Machine Learning

Presenter
  • Yu Cheng
September 24, 2019
IAS
The interplay between physically motivated simulations and machine learning Thumbnail

The interplay between physically motivated simulations and machine learning

Presenter
  • Kyle Cranmer
September 9, 2019
IPAM
Deep Learning Opening Workshop: Horseshoe Regularization for Machine Learning in Complex and Deep Models, Anindya Bhadra Thumbnail

Deep Learning Opening Workshop: Horseshoe Regularization for Machine Learning in Complex and Deep Models, Anindya Bhadra

August 12, 2019
SAMSI
From classical statistics to modern machine learning Thumbnail

From classical statistics to modern machine learning

Presenter
  • Mikhail Belkin
May 23, 2019
IPAM
PMED Transition Workshop: Advances in PMED and Machine Learning Thumbnail

PMED Transition Workshop: Advances in PMED and Machine Learning

May 21, 2019
SAMSI
A consistent algorithmic framework for structured machine learning Thumbnail

A consistent algorithmic framework for structured machine learning

Presenter
  • Lorenzo Rosasco
April 29, 2019
IPAM
Variational approximation of dynamical systems using machine learning Thumbnail

Variational approximation of dynamical systems using machine learning

Presenter
  • Frank Noé
February 11, 2019
IPAM

Nonlinear reduced-order modeling - Using machine learning to enable extreme-scale simulation for many-query problems

Presenter
  • Kevin Carlberg
January 29, 2019
ICERM
Communication-Avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems Thumbnail

Communication-Avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems

Presenter
  • Aydin Buluç
November 28, 2018
IPAM
Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty Thumbnail

Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty

Presenter
  • Paris Perdikaris
September 28, 2018
IPAM
Some things you need to know about machine learning but didn't know whom to ask (the grad school version) Thumbnail

Some things you need to know about machine learning but didn't know whom to ask (the grad school version)

Presenter
  • Sanjeev Arora
February 5, 2018
IAS

Approximating Continuous Functions on Persistence Diagrams for Machine Learning Tasks

Presenter
  • Elizabeth Munch
December 13, 2017
ICERM