Videos

Start date cannot be after end date.
Nonlinear dimensionality reduction for faster kernel methods in machine learning. Thumbnail

Nonlinear dimensionality reduction for faster kernel methods in machine learning.

Presenter
  • Christopher Musco
February 12, 2018
IAS
Control Design for Energy Efficient Buildings with Uncertain Predictions: Theory and Practice Thumbnail

Control Design for Energy Efficient Buildings with Uncertain Predictions: Theory and Practice

Presenter
  • Francesco Borrelli
June 11, 2013
IMA
Tutorial - Large Scale Inference Thumbnail

Tutorial - Large Scale Inference

Presenter
  • Alexander Smola
March 26, 2012
IMA
Projections methods for the topology of algebraic curves and surfaces Thumbnail

Projections methods for the topology of algebraic curves and surfaces

Presenter
  • Bernard Mourrain
September 19, 2006
IMA
Cesar Uribe - Decentralized Optimal Transport and Barycenters: Algorithms, Quantization, and Equity Thumbnail

Cesar Uribe - Decentralized Optimal Transport and Barycenters: Algorithms, Quantization, and Equity

Presenter
  • Cesar Uribe
May 19, 2025
IPAM
Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty Thumbnail

Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty

Presenter
  • Paris Perdikaris
September 28, 2018
IPAM
Deep Learning of dynamical systems for mechanistic insight and prediction in psychiatry Thumbnail

Deep Learning of dynamical systems for mechanistic insight and prediction in psychiatry

Presenter
  • Daniel Durstewitz
February 18, 2020
IPAM
Private Data, Public Computation Thumbnail

Private Data, Public Computation

Presenter
  • Kristin Lauter
October 16, 2012
IMA
Introductory Workshop: Algorithms, Fairness, and Equity: "Geometry of Deep Learning and Explainable ML" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Geometry of Deep Learning and Explainable ML"

Presenter
  • Anders Karlsson
August 30, 2023
SLMath
Eigenvector Localization, Implicit Regularization, and Algorithmic Anti-differentiation for Large-scale Graphs and Networked Data Thumbnail

Eigenvector Localization, Implicit Regularization, and Algorithmic Anti-differentiation for Large-scale Graphs and Networked Data

Presenter
  • Michael Mahoney
April 30, 2014
IMA
Optimal Decisions with Messy Data and Uncertainty Thumbnail

Optimal Decisions with Messy Data and Uncertainty

Presenter
  • Bart Van
October 27, 2025
IMSI
Plenary Talk: Scalable Approaches to Modelling Longitudinal Neuroimaging Data Thumbnail

Plenary Talk: Scalable Approaches to Modelling Longitudinal Neuroimaging Data

Presenter
  • Nichols, Thomas
August 29, 2024
IMSI