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
Deep Learning Opening Workshop: Statistical and Computational Guarantees of EM with Random Initialization, Harrison Zhou Thumbnail

Deep Learning Opening Workshop: Statistical and Computational Guarantees of EM with Random Initialization, Harrison Zhou

August 12, 2019
SAMSI

Bayesian nonparametrics and g-computation for causal inference in observational studies

Presenter
  • Jason Roy
January 15, 2019
ICERM
Machine learning methods for physics and chemistry 2: Deep learning Thumbnail

Machine learning methods for physics and chemistry 2: Deep learning

Presenter
  • Frank Noé
September 15, 2017
IPAM
Machine learning methods for physics and chemistry 1: Regression and Kernel methods Thumbnail

Machine learning methods for physics and chemistry 1: Regression and Kernel methods

Presenter
  • Frank Noé
September 15, 2017
IPAM
Delay and Cooperation in Nonstochastic Bandits Thumbnail

Delay and Cooperation in Nonstochastic Bandits

Presenter
  • Nicolo Cesa-Bianchi
May 17, 2016
IMA
Practically Relevant Theory and Theoretically Relevant Practice of Deep Learning Thumbnail

Practically Relevant Theory and Theoretically Relevant Practice of Deep Learning

Presenter
  • Shai Shalev-Shwartz
May 17, 2016
IMA

Learning how to rank via forbidden patterns - semirankings and the Erdos-Hajnal Conjecture

Presenter
  • Krzysztof Choromanski
February 14, 2014
ICERM
Spectral and geometric methods in learning Thumbnail

Spectral and geometric methods in learning

Presenter
  • Misha Belkin
October 28, 2008
IMA

Gravitational wave inference and stochastic sampling

Presenter
  • Colm Talbot
June 4, 2025
ICERM

Flexible parameter estimation and fast waveforms

Presenter
  • Kaze Wong
June 3, 2025
ICERM

Public Code Packages to Visualise and Optimise Gravitational Wave Surrogate Models

Presenter
  • Lucy Thomas
June 3, 2025
ICERM