Videos

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Reliability, Robustness and Minipatch Learning

Presenter
  • Genevera Allen
April 11, 2021
ICERM
Abstractions for programming distributed robotic applications Thumbnail

Abstractions for programming distributed robotic applications

Presenter
  • Sayan Mitra
October 30, 2020
IPAM
Priors for Semantic Variables Thumbnail

Priors for Semantic Variables

Presenter
  • Yoshua Bengio
July 23, 2020
IAS
Gradient descent, Stochastic gradient descent, and acceleration Thumbnail

Gradient descent, Stochastic gradient descent, and acceleration

Presenter
  • Adam Oberman
March 10, 2020
IPAM
Connectome-based modeling of real world clinical outcomes in addictions Thumbnail

Connectome-based modeling of real world clinical outcomes in addictions

Presenter
  • Sarah Yip
February 19, 2020
IPAM
Special Guest Lecture: There is Kernel Method for That, Ernest Fokoue Thumbnail

Special Guest Lecture: There is Kernel Method for That, Ernest Fokoue

September 4, 2019
SAMSI
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
Hot Topics: Shape and Structure Of Materials - Applications of convnets to microstructural description and material design Thumbnail

Hot Topics: Shape and Structure Of Materials - Applications of convnets to microstructural description and material design

Presenter
  • Daniela Ushizima
October 1, 2018
SLMath
Detecting psychiatric disorders with statistical learning tailored to brain activity Thumbnail

Detecting psychiatric disorders with statistical learning tailored to brain activity

Presenter
  • Gaël Varoquaux
September 24, 2018
IPAM
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II

Presenter
  • Russell Impagliazzo
November 14, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I

Presenter
  • Russell Impagliazzo
November 13, 2017
IAS
Efficient Parallel Surrogate Methods for Global Optimization of Computationally Expensive Multimodal Models Thumbnail

Efficient Parallel Surrogate Methods for Global Optimization of Computationally Expensive Multimodal Models

Presenter
  • Christine Shoemaker
October 31, 2017
IPAM