Start date cannot be after end date.
A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics
Presenter
- Maxim Raginsky
April 21, 2020
IPAM
Momentum in Stochastic Gradient Descent and Deep Neural Nets
Presenter
- Bao Wang
January 29, 2020
IPAM
Improvements and extensions to the K-FAC method for training neural nets
Presenter
- James Martens
February 21, 2019
ICERM
Optimal quasi-Monte Carlo rules on higher order digital nets for numerical integration of multivariate periodic functions
Presenter
- Aicke Hinrichs
September 17, 2014
ICERM
PART 1: Introduction to Deep Learning & Deep Belief Nets
Presenter
- Geoffrey Hinton
July 9, 2012
IPAM
Universal Laws and Architectures: Theory and Lessons from Brains, Nets, Hearts, Bugs, Grids, Flows, and Zombies
Presenter
- John Doyle
November 16, 2015
IMA
Universal Laws and Architectures: Theory and Lessons from Brains, Nets, Hearts, Bugs, Grids, Flows, and Zombies
Presenter
- John Doyle
October 2, 2015
IMA
Geordie Williamson - What can the working mathematician expect from deep learning? - IPAM at UCLA
Presenter
- Geordie Williamson
February 13, 2023
IPAM
Assumption-free prediction intervals for black-box regression algorithms
Presenter
- Aaditya Ramdas
April 21, 2020
IAS