Geoff Gordon
8 papers · 2013–2021 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (27) π§ Keyword Pioneer
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Conference Polyglot
(4)
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Academic Marathon
(8)
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Cross-Pollinator
(12)
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Trend Setter
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Conference Pioneer
Conferences
AISTATS (3)
ICML (3)
EMNLP (1)
NIPS (1)
Top co-authors
Research topics
Keywords
information theory
(2)
hidden quantum markov model
(2)
variational inference
(2)
contrastive learning
(1)
algorithmic fairness
(1)
robot navigation
(1)
adversarial learning
(1)
mutual information estimation
(1)
structured prediction
(1)
parameter estimation
(1)
quantum probability
(1)
neural network optimization
(1)
maximum likelihood
(1)
exact inference
(1)
stochastic process
(1)
system identification
(1)
bayesian inference
(1)
mirror descent
(1)
conditional mutual information
(1)
reinforcement learning
(1)
Papers
Decomposed Mutual Information Estimation for Contrastive Representation Learning
ICML 2021
A Reduction from Reinforcement Learning to No-Regret Online Learning
AISTATS 2020
Expressiveness and Learning of Hidden Quantum Markov Models
AISTATS 2020
An Empirical Investigation of Beam-Aware Training in Supertagging
EMNLP 2020
Inherent Tradeoffs in Learning Fair Representations
NIPS 2019
Learning Hidden Quantum Markov Models
AISTATS 2018
Collapsed Variational Inference for Sum-Product Networks
ICML 2016
A Spectral Learning Approach to Range-Only SLAM
ICML 2013