Videos

Start date cannot be after end date.
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
Graphical Model (Theory Latent Models) Thumbnail

Graphical Model (Theory Latent Models)

Presenter
  • David Madigan
June 20, 2013
IMA
Surrogate Based Approaches to Parameter Inference in Ocean General Circulation Models Thumbnail

Surrogate Based Approaches to Parameter Inference in Ocean General Circulation Models

Presenter
  • Omar Knio
March 13, 2013
IMA

Joined-up modelling in ecology (and biosciences in general!): likelihood, Bayesian, and all that (Part 2)

Presenter
  • Mark Vanderwel
February 26, 2013
MBI

Joined-up modelling in ecology (and biosciences in general!): likelihood, Bayesian, and all that (Part 1)

Presenter
  • Drew Purves
February 26, 2013
MBI

Particle MCMC for Stochastic Kinetic Models

Presenter
  • Andrew Golightly
February 23, 2012
MBI