Videos

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Unraveling the mysteries of stochastic gradient descent on deep neural networks Thumbnail

Unraveling the mysteries of stochastic gradient descent on deep neural networks

Presenter
  • Pratik Chaudhari
February 8, 2018
IPAM

New Progress on Stochastic Variance-Reduced Methods in Machine Learning: Adaptive Restart and Distributed Optimization

Presenter
  • Qihang Lin
December 12, 2017
IMA
Markoff surfaces and strong approximation Thumbnail

Markoff surfaces and strong approximation

Presenter
  • Alexander Gamburd
December 8, 2017
IAS
Optimality of the Johnson-Lindenstrauss lemma Thumbnail

Optimality of the Johnson-Lindenstrauss lemma

Presenter
  • Jelani Nelson
November 16, 2017
SLMath
Rigidity of the 3D hierarchical Coulomb gas Thumbnail

Rigidity of the 3D hierarchical Coulomb gas

Presenter
  • Sourav Chatterjee
November 13, 2017
SLMath
Data assimilation as an optimal control problem and applications to uncertainty quantification Thumbnail

Data assimilation as an optimal control problem and applications to uncertainty quantification

Presenter
  • Sebastian Reich
November 13, 2017
IPAM

Multireference Alignment without Alignment

Presenter
  • Nicolas Boumal
October 31, 2017
IMA

Automated Insulin Delivery: An Overview of Models and Algorithms

Presenter
  • B. Wayne Bequette
October 30, 2017
MBI

Diabetes Treatment: One Size does not Fit All

Presenter
  • Eda Cengiz
October 30, 2017
MBI
Optimization Methods for Machine Learning Thumbnail

Optimization Methods for Machine Learning

Presenter
  • Stephen Wright
October 6, 2017
IPAM

Cancer Modeling: Optimal Therapy Scheduling Based on a Pair of Collaterally Sensitive Drugs

Presenter
  • Nara Yoon
October 2, 2017
MBI

Beta Activity and Subthalamic Deep Brain Stimulation

Presenter
  • Cameron McIntyre
September 14, 2017
MBI