Videos

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Computational/Statistical Gaps for Learning Neural Networks Thumbnail

Computational/Statistical Gaps for Learning Neural Networks

Presenter
  • Adam Klivans
April 13, 2021
IMSI
Performative Prediction Thumbnail

Performative Prediction

Presenter
  • Moritz Hardt
April 13, 2021
IMSI
Robust regression with covariate filtering: Heavy tails and adversarial contamination Thumbnail

Robust regression with covariate filtering: Heavy tails and adversarial contamination

Presenter
  • Po-Ling Loh
April 12, 2021
IMSI

An Information Theoretic Approach to Validate Deep Learning-Based Algorithms

Presenter
  • Gitta Kutyniok
April 10, 2021
ICERM
Implicit Regularization in Deep Learning: Lessons Learned from Matrix and Tensor Factorization Thumbnail

Implicit Regularization in Deep Learning: Lessons Learned from Matrix and Tensor Factorization

Presenter
  • Nadav Cohen
March 31, 2021
IPAM
Efficient Robot Skill Learning via Grounded Simulation Learning, Imitation Learning from Observation, and Off-Policy Reinforcement Learning Thumbnail

Efficient Robot Skill Learning via Grounded Simulation Learning, Imitation Learning from Observation, and Off-Policy Reinforcement Learning

Presenter
  • Peter Stone
July 30, 2020
IAS
Do Simpler Models Exist and How Can We Find Them? Thumbnail

Do Simpler Models Exist and How Can We Find Them?

Presenter
  • Cynthia Rudin
April 16, 2020
IAS
Learning-based Model Predictive Control - Towards Safe Learning in Control Thumbnail

Learning-based Model Predictive Control - Towards Safe Learning in Control

Presenter
  • Melanie Zeilinger
February 26, 2020
IPAM
Accelerating Scientific Discovery through Interpretable Machine Learning and Intelligent Experimentation Thumbnail

Accelerating Scientific Discovery through Interpretable Machine Learning and Intelligent Experimentation

Presenter
  • Peter Frazier
October 16, 2019
IPAM
Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications Thumbnail

Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications

Presenter
  • Julia Ling
October 14, 2019
IPAM
Automatic Feature Extraction from Hyperspectral Imagery using Deep Recurrent Neural Networks Thumbnail

Automatic Feature Extraction from Hyperspectral Imagery using Deep Recurrent Neural Networks

Presenter
  • Joshua Agar
September 25, 2019
IPAM
Wasserstein Information Geometry for Learning from Data (Part 2/2) Thumbnail

Wasserstein Information Geometry for Learning from Data (Part 2/2)

Presenter
  • Guido Montufar
March 14, 2019
IPAM