Videos

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Convergence rates of non-stationary and deep Gaussian process regression Thumbnail

Convergence rates of non-stationary and deep Gaussian process regression

Presenter
  • Aretha Teckentrup
September 2, 2022
IMSI
Real-time gravitational-wave parameter estimation using machine learning Thumbnail

Real-time gravitational-wave parameter estimation using machine learning

Presenter
  • Stephen Green
November 17, 2021
IPAM
Gravitational Wave Parameter Estimation with Compressed Likelihood Evaluations Thumbnail

Gravitational Wave Parameter Estimation with Compressed Likelihood Evaluations

Presenter
  • Scott Field
November 17, 2021
IPAM
A Brief Introduction to Nested Sampling Thumbnail

A Brief Introduction to Nested Sampling

Presenter
  • Joshua Speagle
November 17, 2021
IPAM
Inferring the properties of populations of gravitational-wave sources Thumbnail

Inferring the properties of populations of gravitational-wave sources

Presenter
  • Salvatore Vitale
September 20, 2021
IPAM
Compositional inductive biases in human function learning Thumbnail

Compositional inductive biases in human function learning

Presenter
  • Samuel Gershman
January 14, 2020
IAS
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
Relevant parameter changes in structural break models Thumbnail

Relevant parameter changes in structural break models

Presenter
  • Arnaud Dufays
April 27, 2018
IMA

Decentralized Hypothesis Testing on Graphs

Presenter
  • Angelia Nedich
April 14, 2016
MBI

Integrating Different Data Types in Estimating Phylogenies

Presenters
  • Rebecca Thiem
  • Brandon Cannone
August 13, 2015
MBI

Uncertainty Quantification for Image Driven Modeling and Simulation

Presenter
  • Petros Koumoutsakos
October 15, 2014
MBI
Randomized Algorithms for Scalable Data Analysis Thumbnail

Randomized Algorithms for Scalable Data Analysis

Presenter
  • Alexander Smola
June 21, 2013
IMA