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Can we design deep learning models that are inherently interpretable?
Presenter
- Cynthia Rudin
April 11, 2021
ICERM
A Framework for Quadratic Form Maximization over Convex Sets
Presenter
- Vijay Bhattiprolu
April 28, 2020
IAS
Learning arithmetic circuits in the average case via lower bounds
Presenter
- Ankit Garg
October 21, 2019
IAS
When Bayesian Orthodoxy Can Go Wrong: Model Selection and Out-of-Distribution Generalization
Presenter
- Andrew Wilson
March 6, 2025
IMSI
CSDM: A Tutorial on the Likely Worst-Case Complexities of NP-Complete Problems
Presenter
- Russell Impagliazzo
January 24, 2012
IAS
Extending Generalization Theory to Address Phenomena in Contemporary Machine Learning
Presenter
- Shay Moran
October 17, 2023
IAS