David J Schwab
6 papers · 2016–2022 · 1 venue · across top CS/AI venues
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Achievements
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Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
🧭
Keyword Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Core Methods
(3)
Artificial Intelligence
(2)
Mathematics
(2)
Computer Vision
(1)
Deep Learning
(1)
Reinforcement Learning
(1)
Analysis
(1)
Application Areas
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types
(1)
Methods
(1)
Keywords
information bottleneck
(3)
supervised learning
(2)
learning theory
(1)
multi-agent reinforcement learning
(1)
image classification
(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)
nonlinear classification
(1)
random matrix theory
(1)
generalization bound
(1)
Papers
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
NeurIPS 2022
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers
NeurIPS 2021
Perturbation Theory for the Information Bottleneck
NeurIPS 2021
Learning Optimal Representations with the Decodable Information Bottleneck
NeurIPS 2020
Learning to Share and Hide Intentions using Information Regularization
NeurIPS 2018
Supervised Learning with Tensor Networks
NeurIPS 2016