← Authors

Geoff Gordon

8 papers · 2013–2021 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (27) 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (12) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

AISTATS (3) ICML (3) EMNLP (1) NIPS (1)

Top co-authors

Byron Boots (4) Siddarth Srinivasan (2) Han Zhao (2) Sandesh Adhikary (1) Tameem Adel (1) Hannes Schulz (1) Remi Tachet Combes (1) Philip Bachman (1) Matthew R. Gormley (1) Alessandro Sordoni (1)

Research topics

Optimization (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
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