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Using discrepancy theory to improve the design of randomized controlled trials
Presenter
- Daniel Spielman
May 11, 2020
IAS
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Presenter
- Daniel Kuhn
February 26, 2020
IPAM
Deep Learning of dynamical systems for mechanistic insight and prediction in psychiatry
Presenter
- Daniel Durstewitz
February 18, 2020
IPAM
Deep learning and shape modelling for medical image reconstruction, segmentation and analysis
Presenter
- Daniel Rueckert
January 31, 2020
IPAM
In Defense of Uniform Convergence: Generalization via Derandomization
Presenter
- Daniel Roy
January 23, 2020
IAS
Electronic Structure of Mechanically Relaxed Incommensurate Materials using Momentum Space
Presenter
- Daniel Massatt
January 15, 2020
IPAM
Deep learning as a toy model of the 1/N-expansion and renormalization
Presenter
- Daniel Roberts
November 20, 2019
IPAM
Tightening information-theoretic generalization bounds with data-dependent estimates with an application to SGLD
Presenter
- Daniel Roy
October 15, 2019
IAS