Videos

Start date cannot be after end date.
Multi-group fairness, loss minimization and indistinguishability Thumbnail

Multi-group fairness, loss minimization and indistinguishability

Presenter
  • Parikshit Gopalan
April 12, 2022
IAS
Combinatorial Invariance: a Case Study of Pure Math / Machine Learning Interaction Thumbnail

Combinatorial Invariance: a Case Study of Pure Math / Machine Learning Interaction

Presenter
  • Geordie Williamson
March 28, 2022
IAS
Veridical Network Embedding Thumbnail

Veridical Network Embedding

Presenter
  • Tian Zheng
March 10, 2022
SLMath
Deep learning algorithm for core-collapse supernova detection Thumbnail

Deep learning algorithm for core-collapse supernova detection

Presenter
  • Irene Di Palma
December 1, 2021
IPAM
Recent Advances in Topology-Based Graph Classification Thumbnail

Recent Advances in Topology-Based Graph Classification

Presenter
  • Bastian Rieck
April 30, 2021
IMSI
Statistical modeling and missing data Thumbnail

Statistical modeling and missing data

Presenter
  • Rod Little
September 8, 2020
IAS
Gradient descent, Stochastic gradient descent, and acceleration Thumbnail

Gradient descent, Stochastic gradient descent, and acceleration

Presenter
  • Adam Oberman
March 10, 2020
IPAM
Momentum in Stochastic Gradient Descent and Deep Neural Nets Thumbnail

Momentum in Stochastic Gradient Descent and Deep Neural Nets

Presenter
  • Bao Wang
January 29, 2020
IPAM
An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) (Part 2/2) Thumbnail

An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) (Part 2/2)

Presenter
  • David Xianfeng Gu
March 13, 2019
IPAM
An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) (Part 1/2) Thumbnail

An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) (Part 1/2)

Presenter
  • David Xianfeng Gu
March 13, 2019
IPAM
Convolutional neural networks in phase space and inverse problems for nonlinear wave equations Thumbnail

Convolutional neural networks in phase space and inverse problems for nonlinear wave equations

Presenter
  • Yiran Wang
January 30, 2019
IPAM
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