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Successor Feature Sets: Generalizing Successor Representations Across Policies


Mar 15, 2021
Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon


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Understanding and Mitigating Accuracy Disparity in Regression


Feb 24, 2021
Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao


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Fundamental Limits and Tradeoffs in Invariant Representation Learning


Dec 19, 2020
Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar


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An Empirical Investigation of Beam-Aware Training in Supertagging


Oct 10, 2020
Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon

* EMNLP Findings 2020 camera-ready. Code can be found at https://github.com/negrinho/beam_learn_supertagging 

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Conditional Learning of Fair Representations


Oct 16, 2019
Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon


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Learning Neural Networks with Adaptive Regularization


Jul 14, 2019
Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon


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Inherent Tradeoffs in Learning Fair Representation


Jun 19, 2019
Han Zhao, Geoffrey J. Gordon


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Adversarial Task-Specific Privacy Preservation under Attribute Attack


Jun 19, 2019
Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon


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On Learning Invariant Representation for Domain Adaptation


Jan 27, 2019
Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon


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An Empirical Study of Example Forgetting during Deep Neural Network Learning


Dec 12, 2018
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon


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Learning Beam Search Policies via Imitation Learning


Nov 01, 2018
Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon

* Published in NIPS 2018 

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Dual Policy Iteration


May 28, 2018
Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell


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An Efficient, Expressive and Local Minima-free Method for Learning Controlled Dynamical Systems


Feb 28, 2018
Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon


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Multiple Source Domain Adaptation with Adversarial Training of Neural Networks


Oct 27, 2017
Han Zhao, Shanghang Zhang, Guanhang Wu, João P. Costeira, José M. F. Moura, Geoffrey J. Gordon


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Unsupervised Learning for Nonlinear PieceWise Smooth Hybrid Systems


Oct 02, 2017
Gilwoo Lee, Zita Marinho, Aaron M. Johnson, Geoffrey J. Gordon, Siddhartha S. Srinivasa, Matthew T. Mason

* 8 pages 

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Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction


Mar 03, 2017
Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell

* 17 pages 

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Constant Size Molecular Descriptors For Use With Machine Learning


Jan 23, 2017
Christopher R. Collins, Geoffrey J. Gordon, O. Anatole von Lilienfeld, David J. Yaron

* 18 pages, 5 figures 

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Galerkin Methods for Complementarity Problems and Variational Inequalities


Jun 20, 2013
Geoffrey J. Gordon


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Fast Solutions to Projective Monotone Linear Complementarity Problems


Dec 31, 2012
Geoffrey J. Gordon


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A Spectral Learning Approach to Range-Only SLAM


Jul 10, 2012
Byron Boots, Geoffrey J. Gordon


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Two-Manifold Problems


Dec 29, 2011
Byron Boots, Geoffrey J. Gordon


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A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning


Mar 16, 2011
Stephane Ross, Geoffrey J. Gordon, J. Andrew Bagnell

* Appearing in the 14th International Conference on Artificial Intelligence and Statistics (AISTATS 2011) 

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Predictive State Temporal Difference Learning


Jan 18, 2011
Byron Boots, Geoffrey J. Gordon


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Reduced-Rank Hidden Markov Models


Dec 22, 2009
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon

* Updated robot experiment figure, added details on KDE, fixed a couple of errors 

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Closing the Learning-Planning Loop with Predictive State Representations


Dec 12, 2009
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon


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