Videos

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Machine learning: from genetics to gene editing to protein optimization Thumbnail

Machine learning: from genetics to gene editing to protein optimization

Presenter
  • Jennifer Listgarten
November 8, 2018
IPAM
Optimization Methods for Machine Learning Thumbnail

Optimization Methods for Machine Learning

Presenter
  • Stephen Wright
July 20, 2015
IPAM
Some Recent Developments in Large-Scale Convex Optimization Thumbnail

Some Recent Developments in Large-Scale Convex Optimization

Presenter
  • Niao He
February 24, 2015
IMA

Microtubule transport of mRNA in dendrites

Presenter
  • Jay Newby
November 3, 2014
MBI
What Sparsity and l1 Optimization Can Do For You Thumbnail

What Sparsity and l1 Optimization Can Do For You

Presenter
  • Stan Osher
July 31, 2014
IPAM
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

Linking levels of analysis in computational models of corticostriatal function

Presenter
  • Michael Frank
December 11, 2012
MBI
Analytic Organization of High Himensional observational Databases as a tool for learning and inference Thumbnail

Analytic Organization of High Himensional observational Databases as a tool for learning and inference

Presenter
  • Ronald Coifman
September 27, 2011
IMA
A fast view of real life video segmentation and a slower view of learning dictionaries for efficient representations Thumbnail

A fast view of real life video segmentation and a slower view of learning dictionaries for efficient representations

Presenter
  • Guillermo Sapiro
October 6, 2009
IMA
Guang Lin - Scalable algorithms for Bayesian deep learning via stochastic gradient Monte Carlo Thumbnail

Guang Lin - Scalable algorithms for Bayesian deep learning via stochastic gradient Monte Carlo

Presenter
  • Guang Lin
July 16, 2025
IPAM
Ricardo Baptista - Conditional simulation via entropic optimal transport - IPAM at UCLA Thumbnail

Ricardo Baptista - Conditional simulation via entropic optimal transport - IPAM at UCLA

Presenter
  • Ricardo Baptista
May 20, 2025
IPAM

Addressing some computational and modeling challenges in phylogenomic analysis

Presenter
  • Minh Bui
November 20, 2024
ICERM