Gordon, Geoffrey J.

75 publications

ICML 2025 CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Karish Grover, Geoffrey J. Gordon, Christos Faloutsos

ICLR 2025 LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning Zhuorui Ye, Stephanie Milani, Geoffrey J. Gordon, Fei Fang

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

ICML 2024 When Is Transfer Learning Possible? My Phan, Kianté Brantley, Stephanie Milani, Soroush Mehri, Gokul Swamy, Geoffrey J. Gordon

JMLR 2022 Fundamental Limits and Tradeoffs in Invariant Representation Learning Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar

JMLR 2022 Inherent Tradeoffs in Learning Fair Representations Han Zhao, Geoffrey J. Gordon

ICML 2021 Information Obfuscation of Graph Neural Networks Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov

AAAI 2021 Successor Feature Sets: Generalizing Successor Representations Across Policies Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon

ICML 2021 Understanding and Mitigating Accuracy Disparity in Regression Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao

ICLR 2020 Conditional Learning of Fair Representations Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon

NeurIPS 2020 Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon

AAAI 2020 Learning General Latent-Variable Graphical Models with Predictive Belief Propagation Borui Wang, Geoffrey J. Gordon

NeurIPS 2020 Trade-Offs and Guarantees of Adversarial Representation Learning for Information Obfuscation Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon

ICLR 2019 An Empirical Study of Example Forgetting During Deep Neural Network Learning Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon

UAI 2019 Efficient Multitask Feature and Relationship Learning Han Zhao, Otilia Stretcu, Alexander J. Smola, Geoffrey J. Gordon

NeurIPS 2019 Learning Neural Networks with Adaptive Regularization Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon

NeurIPS 2019 Towards Modular and Programmable Architecture Search Renato Negrinho, Matthew Gormley, Geoffrey J. Gordon, Darshan Patil, Nghia Le, Daniel Ferreira

NeurIPS 2018 Adversarial Multiple Source Domain Adaptation Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, Joao P. Costeira, Geoffrey J. Gordon

AAAI 2018 An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon

NeurIPS 2018 Dual Policy Iteration Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Bagnell

UAI 2018 Frank-Wolfe Optimization for Symmetric-NMF Under Simplicial Constraint Han Zhao, Geoffrey J. Gordon

NeurIPS 2018 Learning Beam Search Policies via Imitation Learning Renato Negrinho, Matthew Gormley, Geoffrey J. Gordon

AISTATS 2018 Learning Hidden Quantum Markov Models Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots

ICML 2017 Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell

NeurIPS 2017 Linear Time Computation of Moments in Sum-Product Networks Han Zhao, Geoffrey J. Gordon

NeurIPS 2017 Predictive State Recurrent Neural Networks Carlton Downey, Ahmed Hefny, Byron Boots, Geoffrey J. Gordon, Boyue Li

NeurIPS 2016 A Unified Approach for Learning the Parameters of Sum-Product Networks Han Zhao, Pascal Poupart, Geoffrey J. Gordon

UAI 2016 Learning to Smooth with Bidirectional Predictive State Inference Machines Wen Sun, Roberto Capobianco, Geoffrey J. Gordon, J. Andrew Bagnell, Byron Boots

NeurIPS 2015 Supervised Learning for Dynamical System Learning Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon

IJCAI 2013 A Generalization of SAT and #SAT for Robust Policy Evaluation Erik Peter Zawadzki, André Platzer, Geoffrey J. Gordon

UAI 2013 Hilbert Space Embeddings of Predictive State Representations Byron Boots, Geoffrey J. Gordon, Arthur Gretton

AAAI 2012 Decision Support for Agent Populations in Uncertain and Congested Environments Pradeep Varakantham, Shih-Fen Cheng, Geoffrey J. Gordon, Asrar Ahmed

ICML 2012 Two Manifold Problems with Applications to Nonlinear System Identification Byron Boots, Geoffrey J. Gordon

AAAI 2011 An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems Byron Boots, Geoffrey J. Gordon

UAI 2010 A Bayesian Matrix Factorization Model for Relational Data Ajit Paul Singh, Geoffrey J. Gordon

ICML 2010 Hilbert Space Embeddings of Hidden Markov Models Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola

NeurIPS 2010 Predictive State Temporal Difference Learning Byron Boots, Geoffrey J. Gordon

UAI 2009 A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games Miroslav Dudík, Geoffrey J. Gordon

UAI 2009 First-Order Mixed Integer Linear Programming Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudík

ECML-PKDD 2008 A Unified View of Matrix Factorization Models Ajit Paul Singh, Geoffrey J. Gordon

ICML 2008 Closed-Form Supervised Dimensionality Reduction with Generalized Linear Models Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira, Geoffrey J. Gordon

JMLR 2008 Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Murphy

ICML 2008 No-Regret Learning in Convex Games Geoffrey J. Gordon, Amy Greenwald, Casey Marks

AAAI 2008 RADAR: A Personal Assistant That Learns to Reduce Email Overload Michael Freed, Jaime G. Carbonell, Geoffrey J. Gordon, Jordan Hayes, Brad A. Myers, Daniel P. Siewiorek, Stephen F. Smith, Aaron Steinfeld, Anthony Tomasic

NeurIPS 2007 A Constraint Generation Approach to Learning Stable Linear Dynamical Systems Byron Boots, Geoffrey J. Gordon, Sajid M. Siddiqi

AISTATS 2007 A Fast Bundle-Based Anytime Algorithm for Poker and Other Convex Games H. Brendan McMahan, Geoffrey J. Gordon

AAAI 2007 A Unification of Extensive-Form Games and Markov Decision Processes H. Brendan McMahan, Geoffrey J. Gordon

JAIR 2006 Anytime Point-Based Approximations for Large POMDPs Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun

ICML 2006 Approximate Kalman Filters for Embedding Author-Word Co-Occurrence Data over Time Purnamrita Sarkar, Sajid M. Siddiqi, Geoffrey J. Gordon

NeurIPS 2006 Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games Chris Murray, Geoffrey J. Gordon

NeurIPS 2006 No-Regret Algorithms for Online Convex Programs Geoffrey J. Gordon

ICML 2006 The Support Vector Decomposition Machine Francisco Pereira, Geoffrey J. Gordon

ICML 2005 Bounded Real-Time Dynamic Programming: RTDP with Monotone Upper Bounds and Performance Guarantees H. Brendan McMahan, Maxim Likhachev, Geoffrey J. Gordon

JAIR 2005 Finding Approximate POMDP Solutions Through Belief Compression Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun

ICML 2004 Learning Low Dimensional Predictive Representations Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun

NeurIPS 2004 Planning for Markov Decision Processes with Sparse Stochasticity Maxim Likhachev, Sebastian Thrun, Geoffrey J. Gordon

AAAI 2004 Visibility-Based Pursuit-Evasion with Limited Field of View Brian P. Gerkey, Sebastian Thrun, Geoffrey J. Gordon

IJCAI 2003 A Learning Algorithm for Localizing People Based on Wireless Signal Strength That Uses Labeled and Unlabeled Data Sebastian Thrun, Geoffrey J. Gordon, Frank Pfenning, Mary Berna, Brennan Sellner, Brad Lisien

NeurIPS 2003 ARA*: Anytime A* with Provable Bounds on Sub-Optimality Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun

NeurIPS 2003 Applying Metric-Trees to Belief-Point POMDPs Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun

NeurIPS 2003 Auction Mechanism Design for Multi-Robot Coordination Curt Bererton, Geoffrey J. Gordon, Sebastian Thrun

UAI 2003 Decentralized Sensor Fusion with Distributed Particle Filters Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun

NeurIPS 2003 Model Uncertainty in Classical Conditioning Aaron C. Courville, Geoffrey J. Gordon, David S. Touretzky, Nathaniel D. Daw

ICML 2003 Planning in the Presence of Cost Functions Controlled by an Adversary H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum

IJCAI 2003 Point-Based Value Iteration: An Anytime Algorithm for POMDPs Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun

UAI 2003 Policy-Contingent Abstraction for Robust Robot Control Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun

UAI 2002 Distributed Planning in Hierarchical Factored MDPs Carlos Guestrin, Geoffrey J. Gordon

NeurIPS 2002 Exponential Family PCA for Belief Compression in POMDPs Nicholas Roy, Geoffrey J. Gordon

NeurIPS 2002 Generalized² Linear² Models Geoffrey J. Gordon

ICML 2000 Learning Filaments Geoffrey J. Gordon, Andrew W. Moore

NeurIPS 2000 Reinforcement Learning with Function Approximation Converges to a Region Geoffrey J. Gordon

COLT 1999 Regret Bounds for Prediction Problems Geoffrey J. Gordon

ICML 1996 Nonparametric Statistical Methods for Experimental Evaluations of Speedup Learning Geoffrey J. Gordon, Alberto Maria Segre

NeurIPS 1995 Stable Fitted Reinforcement Learning Geoffrey J. Gordon

ICML 1995 Stable Function Approximation in Dynamic Programming Geoffrey J. Gordon