Videos

Start date cannot be after end date.
Statistical Learning Theory for Modern Machine Learning Thumbnail

Statistical Learning Theory for Modern Machine Learning

Presenter
  • John Shawe-Taylor
August 11, 2020
IAS
A Blueprint of Standardized and Composable Machine Learning Thumbnail

A Blueprint of Standardized and Composable Machine Learning

Presenter
  • Eric Xing
August 6, 2020
IAS
Regularity theory and uniform convergence in the large data limit of graph Laplacian eigenvectors on random data clouds Thumbnail

Regularity theory and uniform convergence in the large data limit of graph Laplacian eigenvectors on random data clouds

Presenter
  • Nicolas Garcia Trillos
May 7, 2020
SLMath
Evidence of local entropy optimization in machine learning, physics and neuroscience Thumbnail

Evidence of local entropy optimization in machine learning, physics and neuroscience

Presenter
  • Riccardo Zecchina
November 20, 2019
IPAM
Multiscale analysis of accelerated gradient methods in machine learning Thumbnail

Multiscale analysis of accelerated gradient methods in machine learning

Presenter
  • Mohammad Farazmand
October 28, 2019
IPAM
Accelerating Scientific Discovery through Interpretable Machine Learning and Intelligent Experimentation Thumbnail

Accelerating Scientific Discovery through Interpretable Machine Learning and Intelligent Experimentation

Presenter
  • Peter Frazier
October 16, 2019
IPAM
Simulating quantum dynamics with neural machine translation Thumbnail

Simulating quantum dynamics with neural machine translation

Presenter
  • Juan Carrasquilla
September 27, 2019
IPAM
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