Geoff Gordon
Carnegie Mellon University
H-index: 65
North America-United States
Top articles of Geoff Gordon
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Fundamental Limits and Tradeoffs in Invariant Representation Learning | Journal of Machine Learning Research | Han Zhao Chen Dan Bryon Aragam Tommi S Jaakkola Geoffrey J Gordon | 2022 |
Inherent Tradeoffs in Learning Fair Representations. | JMLR | Han Zhao Geoffrey Gordon | 2022 |
Successor feature sets: Generalizing successor representations across policies | Proceedings of the AAAI Conference on Artificial Intelligence | Kianté Brantley Soroush Mehri Geoff J Gordon | 2021/5/18 |
Understanding and Mitigating Accuracy Disparity in Regression | Jianfeng Chi Yuan Tian Geoffrey Gordon Han Zhao | 2021 | |
Information Obfuscation of Graph Neural Networks | Peiyuan Liao Han Zhao Keyulu Xu Tommi Jaakkola Geoffrey J Gordon | 2021/7/1 | |
Decomposed Mutual Information Estimation for Contrastive Representation Learning | Alessandro Sordoni Nouha Dziri Hannes Schulz Geoff Gordon Philip Bachman | 2021 | |
Expressiveness and Learning of Hidden Quantum Markov Models | Proceedings of the Twenty-Third International Conference on Artificial Intelligence and Statistics | Sandesh Adhikary Siddarth Srinivasan Geoff Gordon Byron Boots | 2019/12/2 |
An Empirical Investigation of Beam-Aware Training in Supertagging | arXiv preprint arXiv:2010.04980 | Renato Negrinho Matthew R Gormley Geoffrey J Gordon | 2020/10/10 |
Domain adaptation with conditional distribution matching and generalized label shift | Advances in Neural Information Processing Systems | Remi Tachet des Combes Han Zhao Yu-Xiang Wang Geoffrey J Gordon | 2020 |
A Reduction from Reinforcement Learning to No-Regret Online Learning | Ching-An Cheng Remi Tachet des Combes Byron Boots Geoff Gordon | 2020 | |
Graph adversarial networks: Protecting information against adversarial attacks | Peiyuan Liao Han Zhao Keyulu Xu Tommi S Jaakkola Geoff Gordon | 2020/10/2 | |
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation | Borui Wang Geoffrey Gordon | 2020 | |
Decomposing Mutual Information for Representation Learning | Alessandro Sordoni Nouha Dziri Hannes Schulz Geoff Gordon Remi Tachet des Combes | 2020/10/2 | |
Conditional Learning of Fair Representations | arXiv preprint arXiv:1910.07162 | Han Zhao Amanda Coston Tameem Adel Geoffrey J Gordon | 2019/10/16 |
Efficient multitask feature and relationship learning | Han Zhao Otilia Stretcu Alexander J Smola Geoffrey J Gordon | 2020/8/6 | |
Towards modular and programmable architecture search | Renato Negrinho Matthew Gormley Geoffrey Gordon Darshan Patil Nghia Le | 2020 | |
Trade-offs and Guarantees on Adversarial Representation Learning for Information Obfuscation | Han Zhao Jianfeng Chi Yuan Tian Geoffrey J. Gordon | 2020 | |
Learning Neural Networks with Adaptive Regularization | Han Zhao Yao-Hung Hubert Tsai Russ Salakhutdinov Geoffrey Gordon | 2020 |
Co-Authors
