Geoff Gordon
8 papers · 2013–2021 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (26) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
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Conference Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Optimization & Theory
(5)
Deep Learning
(3)
Core AI
(3)
Learning Types Β· Machine Learning
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Reinforcement Learning
(1)
Robotics
(1)
Application Areas
(1)
Capabilities
(1)
Mathematics
(1)
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
An Empirical Investigation of Beam-Aware Training in Supertagging
EMNLP 2020
A Reduction from Reinforcement Learning to No-Regret Online Learning
AISTATS 2020
Expressiveness and Learning of Hidden Quantum Markov Models
AISTATS 2020
Inherent Tradeoffs in Learning Fair Representations
NeurIPS 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