Gordon, Geoff

7 publications

ICMLW 2024 Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels Zhuorui Ye, Stephanie Milani, Fei Fang, Geoff Gordon

ICML 2021 Decomposed Mutual Information Estimation for Contrastive Representation Learning Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoff Gordon, Philip Bachman, Remi Tachet Des Combes

AISTATS 2020 A Reduction from Reinforcement Learning to No-Regret Online Learning Ching-An Cheng, Remi Tachet Combes, Byron Boots, Geoff Gordon

AISTATS 2020 Expressiveness and Learning of Hidden Quantum Markov Models Sandesh Adhikary, Siddarth Srinivasan, Geoff Gordon, Byron Boots

NeurIPS 2019 Inherent Tradeoffs in Learning Fair Representations Han Zhao, Geoff Gordon

ICML 2016 Collapsed Variational Inference for Sum-Product Networks Han Zhao, Tameem Adel, Geoff Gordon, Brandon Amos

ICML 2013 A Spectral Learning Approach to Range-Only SLAM Byron Boots, Geoff Gordon