Thomas Dietterich
6 papers · 2014–2019 · 2 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (5)
π£
Hot Topic Early Bird
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Cross-Pollinator
(13)
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Trend Setter
Conferences
ICML (4)
ICLR (2)
Top co-authors
Keywords
statistical inference
(1)
anomaly detection
(1)
weakly supervised learning
(1)
sample complexity
(1)
pac learning
(1)
markov chain monte carlo
(1)
empirical risk minimization
(1)
expectation propagation
(1)
variance reduction
(1)
gaussian approximation
(1)
superset label learning
(1)
out-of-distribution detection
(1)
exogenous variable
(1)
collective graphical model
(1)
open category detection
(1)
multi-instance bag
(1)
pac guarantee
(1)
markov reward process
(1)
monte carlo policy evaluation
(1)
mdp decomposition
(1)
Papers
Deep Anomaly Detection with Outlier Exposure
ICLR 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
ICLR 2019
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning
ICML 2018
Open Category Detection with PAC Guarantees
ICML 2018
Gaussian Approximation of Collective Graphical Models
ICML 2014
Learnability of the Superset Label Learning Problem
ICML 2014