David J Schwab
6 papers · 2016–2022 · 1 conference · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer
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Cross-Pollinator
(15)
Conferences
NIPS (6)
Top co-authors
Keywords
information bottleneck
(3)
supervised learning
(2)
learning theory
(1)
multi-agent reinforcement learning
(1)
double descent
(1)
domain generalization
(1)
variational inference
(1)
kernel learning
(1)
empirical risk minimization
(1)
fisher information
(1)
mutual information
(1)
high-dimensional regression
(1)
distribution shift
(1)
perturbation theory
(1)
linear regression
(1)
classification error
(1)
random matrix theory
(1)
generalization bound
(1)
competitive game
(1)
cooperative game
(1)
Papers
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
NIPS 2022
Perturbation Theory for the Information Bottleneck
NIPS 2021
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers
NIPS 2021
Learning Optimal Representations with the Decodable Information Bottleneck
NIPS 2020
Learning to Share and Hide Intentions using Information Regularization
NIPS 2018
Supervised Learning with Tensor Networks
NIPS 2016