Videos

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Scalable algorithms for optimal training data for Bayesian inference of large scale models Thumbnail

Scalable algorithms for optimal training data for Bayesian inference of large scale models

Presenter
  • Omar Ghattas
September 27, 2018
IPAM

Modal-Set Estimation using kNN graphs, and Applications to Clustering

Presenter
  • Samory Kpotufe
May 24, 2018
MBI
Eigenvalue overlaps of correlated Random Matrices Thumbnail

Eigenvalue overlaps of correlated Random Matrices

Presenter
  • Marc Potters
May 15, 2018
IPAM
Network Estimation from Point Process Data Thumbnail

Network Estimation from Point Process Data

Presenter
  • Rebecca Willett
April 24, 2018
IMA
Complexity vs Parsimony: The Challenge of Building Effective Nonlinear Dynamical Spatio-Temporal Forecasting Model Thumbnail

Complexity vs Parsimony: The Challenge of Building Effective Nonlinear Dynamical Spatio-Temporal Forecasting Model

Presenter
  • Chris Wikle
April 23, 2018
IMA
Methods for estimating network change points for multivariate time series Thumbnail

Methods for estimating network change points for multivariate time series

Presenter
  • Ivor Cribben
February 22, 2018
IMA
Semi-parametric Dynamic Max-copula Model for Multivariate Time Series Thumbnail

Semi-parametric Dynamic Max-copula Model for Multivariate Time Series

Presenter
  • Zhengjun Zhang
February 21, 2018
IMA
Model reduction in stochastic dynamics and applications to Molecular Dynamics Thumbnail

Model reduction in stochastic dynamics and applications to Molecular Dynamics

Presenter
  • Frédéric Legoll
November 15, 2017
IPAM
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II

Presenter
  • Russell Impagliazzo
November 14, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I

Presenter
  • Russell Impagliazzo
November 13, 2017
IAS
Finding reaction coordinates during phase transformations in metals Thumbnail

Finding reaction coordinates during phase transformations in metals

Presenter
  • Jutta Rogal
October 17, 2017
IPAM
Navigating colloidal design space with machine learning Thumbnail

Navigating colloidal design space with machine learning

Presenter
  • Matthew Spellings
December 7, 2016
IPAM