Geoffrey J. Gordon

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 70

Top Venues

CoRR

NeurIPS

ICML

NIPS

Publications

Shiva Kaul, Geoffrey J. Gordon
Meta-Analysis with Untrusted Data. CoRR (2024)
Zhuorui Ye, Stephanie Milani, Geoffrey J. Gordon, Fei Fang
Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels. CoRR (2024)
Han Zhao, Geoffrey J. Gordon
Inherent Tradeoffs in Learning Fair Representations. J. Mach. Learn. Res. 23 (2022)
Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar
Fundamental Limits and Tradeoffs in Invariant Representation Learning. J. Mach. Learn. Res. 23 (2022)
Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes
Decomposed Mutual Information Estimation for Contrastive Representation Learning. ICML (2021)
Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes
Decomposed Mutual Information Estimation for Contrastive Representation Learning. CoRR (2021)
Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon
Successor Feature Sets: Generalizing Successor Representations Across Policies. AAAI (2021)
Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon
Successor Feature Sets: Generalizing Successor Representations Across Policies. CoRR (2021)
Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao
Understanding and Mitigating Accuracy Disparity in Regression. ICML (2021)
Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov
Information Obfuscation of Graph Neural Networks. ICML (2021)
Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao
Understanding and Mitigating Accuracy Disparity in Regression. CoRR (2021)
Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov
Graph Adversarial Networks: Protecting Information against Adversarial Attacks. CoRR (2020)
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. CoRR (2020)
Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar
Fundamental Limits and Tradeoffs in Invariant Representation Learning. CoRR (2020)
Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon
An Empirical Investigation of Beam-Aware Training in Supertagging. EMNLP (Findings) (2020)
Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots
Expressiveness and Learning of Hidden Quantum Markov Models. AISTATS (2020)
Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon
A Reduction from Reinforcement Learning to No-Regret Online Learning. AISTATS (2020)
Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation. NeurIPS (2020)
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. NeurIPS (2020)
Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon
Conditional Learning of Fair Representations. ICLR (2020)
Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon
An Empirical Investigation of Beam-Aware Training in Supertagging. CoRR (2020)
Han Zhao, Otilia Stretcu, Alexander J. Smola, Geoffrey J. Gordon
Efficient Multitask Feature and Relationship Learning. UAI (2019)
Renato Negrinho, Darshan Patil, Nghia Le, Daniel Ferreira, Matthew R. Gormley, Geoffrey J. Gordon
Towards modular and programmable architecture search. CoRR (2019)
Han Zhao, Geoffrey J. Gordon
Inherent Tradeoffs in Learning Fair Representation. CoRR (2019)
Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon
Learning Neural Networks with Adaptive Regularization. CoRR (2019)
Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon
Adversarial Task-Specific Privacy Preservation under Attribute Attack. CoRR (2019)
Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon
Conditional Learning of Fair Representations. CoRR (2019)
Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon
A Reduction from Reinforcement Learning to No-Regret Online Learning. CoRR (2019)
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
An Empirical Study of Example Forgetting during Deep Neural Network Learning. ICLR (Poster) (2019)
Han Zhao, Geoffrey J. Gordon
Inherent Tradeoffs in Learning Fair Representations. NeurIPS (2019)
Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots
Expressiveness and Learning of Hidden Quantum Markov Models. CoRR (2019)
Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon
Learning Neural Networks with Adaptive Regularization. NeurIPS (2019)
Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon
On Learning Invariant Representations for Domain Adaptation. ICML (2019)
Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon
On Learning Invariant Representation for Domain Adaptation. CoRR (2019)
Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon, Darshan Patil, Nghia Le, Daniel Ferreira
Towards modular and programmable architecture search. NeurIPS (2019)
Han Zhao, Junjie Hu, Zhenyao Zhu, Adam Coates, Geoffrey J. Gordon
Deep Generative and Discriminative Domain Adaptation. AAMAS (2019)
Han Zhao, Geoffrey J. Gordon
Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint. UAI (2018)
Ahmed Hefny, Zita Marinho, Wen Sun, Siddhartha S. Srinivasa, Geoffrey J. Gordon
Recurrent Predictive State Policy Networks. ICML (2018)
Bohan Zhang, Dana Van Aken, Justin Wang, Tao Dai, Shuli Jiang, Jacky Lao, Siyuan Sheng, Andrew Pavlo, Geoffrey J. Gordon
A Demonstration of the OtterTune Automatic Database Management System Tuning Service. Proc. VLDB Endow. 11 (12) (2018)
Lin Ma, Dana Van Aken, Ahmed Hefny, Gustavo Mezerhane, Andrew Pavlo, Geoffrey J. Gordon
Query-based Workload Forecasting for Self-Driving Database Management Systems. SIGMOD Conference (2018)
Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon
Multiple Source Domain Adaptation with Adversarial Learning. ICLR (Workshop) (2018)
Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon
Learning Beam Search Policies via Imitation Learning. CoRR (2018)
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
An Empirical Study of Example Forgetting during Deep Neural Network Learning. CoRR (2018)
Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell
Dual Policy Iteration. CoRR (2018)
Ahmed Hefny, Zita Marinho, Wen Sun, Siddhartha S. Srinivasa, Geoffrey J. Gordon
Recurrent Predictive State Policy Networks. CoRR (2018)
Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell
Dual Policy Iteration. NeurIPS (2018)
Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, João Paulo Costeira, Geoffrey J. Gordon
Adversarial Multiple Source Domain Adaptation. NeurIPS (2018)
Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots
Learning Hidden Quantum Markov Models. AISTATS (2018)
Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon
Learning Beam Search Policies via Imitation Learning. NeurIPS (2018)
Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon
An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems. AAAI (2018)
Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon
Multiple Source Domain Adaptation with Adversarial Training of Neural Networks. CoRR (2017)
Carlton Downey, Ahmed Hefny, Geoffrey J. Gordon
Practical Learning of Predictive State Representations. CoRR (2017)
Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. ICML (2017)
Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. CoRR (2017)
Han Zhao, Zhenyao Zhu, Junjie Hu, Adam Coates, Geoffrey J. Gordon
Principled Hybrids of Generative and Discriminative Domain Adaptation. CoRR (2017)
Gilwoo Lee, Zita Marinho, Aaron M. Johnson, Geoffrey J. Gordon, Siddhartha S. Srinivasa, Matthew T. Mason
Unsupervised Learning for Nonlinear PieceWise Smooth Hybrid Systems. CoRR (2017)
Han Zhao, Otilia Stretcu, Renato Negrinho, Alexander J. Smola, Geoffrey J. Gordon
Efficient Multi-task Feature and Relationship Learning. CoRR (2017)
Carlton Downey, Ahmed Hefny, Byron Boots, Geoffrey J. Gordon, Boyue Li
Predictive State Recurrent Neural Networks. NIPS (2017)
Han Zhao, Geoffrey J. Gordon
Linear Time Computation of Moments in Sum-Product Networks. NIPS (2017)
Dana Van Aken, Andrew Pavlo, Geoffrey J. Gordon, Bohan Zhang
Automatic Database Management System Tuning Through Large-scale Machine Learning. SIGMOD Conference (2017)
Han Zhao, Geoffrey J. Gordon
Efficient Computation of Moments in Sum-Product Networks. CoRR (2017)
Renato Negrinho, Geoffrey J. Gordon
DeepArchitect: Automatically Designing and Training Deep Architectures. CoRR (2017)
Han Zhao, Geoffrey J. Gordon
Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint. CoRR (2017)
Wen Sun, Roberto Capobianco, Geoffrey J. Gordon, J. Andrew Bagnell, Byron Boots
Learning to Smooth with Bidirectional Predictive State Inference Machines. UAI (2016)
Mohammad Hassan Falakmasir, José P. González-Brenes, Geoffrey J. Gordon, Kristen E. DiCerbo
A Data-Driven Approach for Inferring Student Proficiency from Game Activity Logs. L@S (2016)
Zita Marinho, Anca D. Dragan, Arunkumar Byravan, Byron Boots, Siddhartha S. Srinivasa, Geoffrey J. Gordon
Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces. CoRR (2016)
Han Zhao, Pascal Poupart, Geoffrey J. Gordon
A Unified Approach for Learning the Parameters of Sum-Product Networks. CoRR (2016)
Han Zhao, Pascal Poupart, Geoffrey J. Gordon
A Unified Approach for Learning the Parameters of Sum-Product Networks. NIPS (2016)
Zita Marinho, Byron Boots, Anca D. Dragan, Arunkumar Byravan, Geoffrey J. Gordon, Siddhartha S. Srinivasa
Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces. Robotics: Science and Systems (2016)
Han Zhao, Tameem Adel, Geoffrey J. Gordon, Brandon Amos
Collapsed Variational Inference for Sum-Product Networks. ICML (2016)
Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon
Supervised Learning for Dynamical System Learning. NIPS (2015)
Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon
A New View of Predictive State Methods for Dynamical System Learning. CoRR (2015)
Ahmed Hefny, Robert E. Kass, Sanjeev Khanna, Matthew A. Smith, Geoffrey J. Gordon
Fast and Improved SLEX Analysis of High-Dimensional Time Series. MLINI@NIPS (2014)
Khalil Ghorbal, Jean-Baptiste Jeannin, Erik Zawadzki, André Platzer, Geoffrey J. Gordon, Peter Capell
Hybrid Theorem Proving of Aerospace Systems: Applications and Challenges. J. Aerosp. Inf. Syst. 11 (10) (2014)
Mohammad Hassan Falakmasir, Zachary A. Pardos, Geoffrey J. Gordon, Peter Brusilovsky
A Spectral Learning Approach to Knowledge Tracing. EDM (2013)
Byron Boots, Geoffrey J. Gordon, Arthur Gretton
Hilbert Space Embeddings of Predictive State Representations. UAI (2013)
Byron Boots, Geoffrey J. Gordon, Arthur Gretton
Hilbert Space Embeddings of Predictive State Representations. CoRR (2013)
Anika Gupta, Katia P. Sycara, Geoffrey J. Gordon, Ahmed Hefny
Exploring friend's influence in cultures in Twitter. ASONAM (2013)
Carlos Guestrin, Geoffrey J. Gordon
Distributed Planning in Hierarchical Factored MDPs CoRR (2013)
Erik Peter Zawadzki, André Platzer, Geoffrey J. Gordon
A Generalization of SAT and #SAT for Robust Policy Evaluation. IJCAI (2013)
Geoffrey J. Gordon
Galerkin Methods for Complementarity Problems and Variational Inequalities. CoRR (2013)
Byron Boots, Geoffrey J. Gordon
A Spectral Learning Approach to Range-Only SLAM. ICML (1) (2013)
Michael Yudelson, Kenneth R. Koedinger, Geoffrey J. Gordon
Individualized Bayesian Knowledge Tracing Models. AIED (2013)
Brian D. Ziebart, Miroslav Dudík, Geoffrey J. Gordon, Katia P. Sycara, Wendi L. Adair, Jeanne M. Brett
Identifying Culture and Leveraging Cultural Differences for Negotiation Agents. HICSS (2012)
Pradeep Varakantham, Shih-Fen Cheng, Geoffrey J. Gordon, Asrar Ahmed
Decision Support for Agent Populations in Uncertain and Congested Environments. AAAI (2012)
Ajit Paul Singh, Geoffrey J. Gordon
A Bayesian Matrix Factorization Model for Relational Data CoRR (2012)
Miroslav Dudík, Geoffrey J. Gordon
A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games CoRR (2012)
Byron Boots, Geoffrey J. Gordon
A Spectral Learning Approach to Range-Only SLAM CoRR (2012)
Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng
Lagrangian Relaxation for Large-Scale Multi-agent Planning. IAT (2012)
Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudík
First-Order Mixed Integer Linear Programming CoRR (2012)
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
Policy-contingent abstraction for robust robot control CoRR (2012)
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun
Decentralized Sensor Fusion With Distributed Particle Filters CoRR (2012)
Geoffrey J. Gordon
Fast Solutions to Projective Monotone Linear Complementarity Problems CoRR (2012)
Byron Boots, Geoffrey J. Gordon
Two Manifold Problems with Applications to Nonlinear System Identification. ICML (2012)
Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng
Lagrangian relaxation for large-scale multi-agent planning. AAMAS (2012)
Byron Boots, Geoffrey J. Gordon
Two-Manifold Problems with Applications to Nonlinear System Identification CoRR (2012)
Geoffrey J. Gordon, Nicholas Roy, Sebastian Thrun
Finding Approximate POMDP solutions Through Belief Compression CoRR (2011)
Byron Boots, Geoffrey J. Gordon
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems. AAAI (2011)
Anca D. Dragan, Geoffrey J. Gordon, Siddhartha S. Srinivasa
Learning from Experience in Manipulation Planning: Setting the Right Goals. ISRR (2011)
Sue Ann Hong, Geoffrey J. Gordon
Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources. AISTATS (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Geoffrey J. Gordon