Geoffrey J. Gordon

According to our database, Geoffrey J. Gordon authored at least 145 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels.

Zhuorui Ye, Stephanie Milani, Geoffrey J. Gordon, Fei Fang

CoRR, 2024

Meta-Analysis with Untrusted Data.

Shiva Kaul, Geoffrey J. Gordon

CoRR, 2024

When is Transfer Learning Possible?

My Phan, Kianté Brantley, Stephanie Milani, Soroush Mehri, Gokul Swamy, Geoffrey J. Gordon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

Inherent Tradeoffs in Learning Fair Representations.

Han Zhao, Geoffrey J. Gordon

J. Mach. Learn. Res., 2022

Fundamental Limits and Tradeoffs in Invariant Representation Learning.

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

J. Mach. Learn. Res., 2022

2021

Decomposed Mutual Information Estimation for Contrastive Representation Learning.

Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes

Proceedings of the 38th International Conference on Machine Learning, 2021

Information Obfuscation of Graph Neural Networks.

Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov

Proceedings of the 38th International Conference on Machine Learning, 2021

Understanding and Mitigating Accuracy Disparity in Regression.

Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao

Proceedings of the 38th International Conference on Machine Learning, 2021

Successor Feature Sets: Generalizing Successor Representations Across Policies.

Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Graph Adversarial Networks: Protecting Information against Adversarial Attacks.

Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov

CoRR, 2020

Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift.

Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation.

Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Conditional Learning of Fair Representations.

Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon

Proceedings of the 8th International Conference on Learning Representations, 2020

An Empirical Investigation of Beam-Aware Training in Supertagging.

Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Reduction from Reinforcement Learning to No-Regret Online Learning.

Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Expressiveness and Learning of Hidden Quantum Markov Models.

Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Inherent Tradeoffs in Learning Fair Representation.

Han Zhao, Geoffrey J. Gordon

CoRR, 2019

Adversarial Task-Specific Privacy Preservation under Attribute Attack.

Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon

CoRR, 2019

On Learning Invariant Representation for Domain Adaptation.

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

CoRR, 2019

Efficient Multitask Feature and Relationship Learning.

Han Zhao, Otilia Stretcu, Alexander J. Smola, Geoffrey J. Gordon

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Towards modular and programmable architecture search.

Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon, Darshan Patil, Nghia Le, Daniel Ferreira

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Neural Networks with Adaptive Regularization.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Learning Invariant Representations for Domain Adaptation.

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

Proceedings of the 36th International Conference on Machine Learning, 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

Proceedings of the 7th International Conference on Learning Representations, 2019

Deep Generative and Discriminative Domain Adaptation.

Han Zhao, Junjie Hu, Zhenyao Zhu, Adam Coates, Geoffrey J. Gordon

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

A Demonstration of the OtterTune Automatic Database Management System Tuning Service.

Bohan Zhang, Dana Van Aken, Justin Wang, Tao Dai, Shuli Jiang, Jacky Lao, Siyuan Sheng, Andrew Pavlo, Geoffrey J. Gordon

Proc. VLDB Endow., 2018

Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint.

Han Zhao, Geoffrey J. Gordon

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Query-based Workload Forecasting for Self-Driving Database Management Systems.

Lin Ma, Dana Van Aken, Ahmed Hefny, Gustavo Mezerhane, Andrew Pavlo, Geoffrey J. Gordon

Proceedings of the 2018 International Conference on Management of Data, 2018

Adversarial Multiple Source Domain Adaptation.

Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, João Paulo Costeira, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Beam Search Policies via Imitation Learning.

Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dual Policy Iteration.

Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Recurrent Predictive State Policy Networks.

Ahmed Hefny, Zita Marinho, Wen Sun, Siddhartha S. Srinivasa, Geoffrey J. Gordon

Proceedings of the 35th International Conference on Machine Learning, 2018

Multiple Source Domain Adaptation with Adversarial Learning.

Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Hidden Quantum Markov Models.

Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

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

Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Unsupervised Learning for Nonlinear PieceWise Smooth Hybrid Systems.

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

CoRR, 2017

Multiple Source Domain Adaptation with Adversarial Training of Neural Networks.

Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon

CoRR, 2017

Principled Hybrids of Generative and Discriminative Domain Adaptation.

Han Zhao, Zhenyao Zhu, Junjie Hu, Adam Coates, Geoffrey J. Gordon

CoRR, 2017

Efficient Multi-task Feature and Relationship Learning.

Han Zhao, Otilia Stretcu, Renato Negrinho, Alexander J. Smola, Geoffrey J. Gordon

CoRR, 2017

Efficient Computation of Moments in Sum-Product Networks.

Han Zhao, Geoffrey J. Gordon

CoRR, 2017

DeepArchitect: Automatically Designing and Training Deep Architectures.

Renato Negrinho, Geoffrey J. Gordon

CoRR, 2017

Practical Learning of Predictive State Representations.

Carlton Downey, Ahmed Hefny, Geoffrey J. Gordon

CoRR, 2017

Automatic Database Management System Tuning Through Large-scale Machine Learning.

Dana Van Aken, Andrew Pavlo, Geoffrey J. Gordon, Bohan Zhang

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Linear Time Computation of Moments in Sum-Product Networks.

Han Zhao, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Predictive State Recurrent Neural Networks.

Carlton Downey, Ahmed Hefny, Byron Boots, Geoffrey J. Gordon, Boyue Li

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction.

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

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Learning to Smooth with Bidirectional Predictive State Inference Machines.

Wen Sun, Roberto Capobianco, Geoffrey J. Gordon, J. Andrew Bagnell, Byron Boots

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces.

Zita Marinho, Byron Boots, Anca D. Dragan, Arunkumar Byravan, Geoffrey J. Gordon, Siddhartha S. Srinivasa

Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

A Unified Approach for Learning the Parameters of Sum-Product Networks.

Han Zhao, Pascal Poupart, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A Data-Driven Approach for Inferring Student Proficiency from Game Activity Logs.

Mohammad Hassan Falakmasir, José P. González-Brenes, Geoffrey J. Gordon, Kristen E. DiCerbo

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Collapsed Variational Inference for Sum-Product Networks.

Han Zhao, Tameem Adel, Geoffrey J. Gordon, Brandon Amos

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

A New View of Predictive State Methods for Dynamical System Learning.

Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon

CoRR, 2015

Supervised Learning for Dynamical System Learning.

Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Hybrid Theorem Proving of Aerospace Systems: Applications and Challenges.

Khalil Ghorbal, Jean-Baptiste Jeannin, Erik Zawadzki, André Platzer, Geoffrey J. Gordon, Peter Capell

J. Aerosp. Inf. Syst., 2014

Fast and Improved SLEX Analysis of High-Dimensional Time Series.

Ahmed Hefny, Robert E. Kass, Sanjeev Khanna, Matthew A. Smith, Geoffrey J. Gordon

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

2013

Galerkin Methods for Complementarity Problems and Variational Inequalities.

Geoffrey J. Gordon

CoRR, 2013

Hilbert Space Embeddings of Predictive State Representations.

Byron Boots, Geoffrey J. Gordon, Arthur Gretton

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

A Generalization of SAT and #SAT for Robust Policy Evaluation.

Erik Peter Zawadzki, André Platzer, Geoffrey J. Gordon

Proceedings of the IJCAI 2013, 2013

A Spectral Learning Approach to Range-Only SLAM.

Byron Boots, Geoffrey J. Gordon

Proceedings of the 30th International Conference on Machine Learning, 2013

A Spectral Learning Approach to Knowledge Tracing.

Mohammad Hassan Falakmasir, Zachary A. Pardos, Geoffrey J. Gordon, Peter Brusilovsky

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Exploring friend's influence in cultures in Twitter.

Anika Gupta, Katia P. Sycara, Geoffrey J. Gordon, Ahmed Hefny

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Individualized Bayesian Knowledge Tracing Models.

Michael Yudelson, Kenneth R. Koedinger, Geoffrey J. Gordon

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012

Fast Solutions to Projective Monotone Linear Complementarity Problems

Geoffrey J. Gordon

CoRR, 2012

Two Manifold Problems with Applications to Nonlinear System Identification.

Byron Boots, Geoffrey J. Gordon

Proceedings of the 29th International Conference on Machine Learning, 2012

Identifying Culture and Leveraging Cultural Differences for Negotiation Agents.

Brian D. Ziebart, Miroslav Dudík, Geoffrey J. Gordon, Katia P. Sycara, Wendi L. Adair, Jeanne M. Brett

Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012

Lagrangian relaxation for large-scale multi-agent planning.

Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Decision Support for Agent Populations in Uncertain and Congested Environments.

Pradeep Varakantham, Shih-Fen Cheng, Geoffrey J. Gordon, Asrar Ahmed

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

An Instantiation-Based Theorem Prover for First-Order Programming.

Erik Zawadzki, Geoffrey J. Gordon, André Platzer

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

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

Stéphane Ross, Geoffrey J. Gordon, Drew Bagnell

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources.

Sue Ann Hong, Geoffrey J. Gordon

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Preface.

Geoffrey J. Gordon, David B. Dunson

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Closing the learning-planning loop with predictive state representations.

Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon

Int. J. Robotics Res., 2011

Two-Manifold Problems

Byron Boots, Geoffrey J. Gordon

CoRR, 2011

Learning from Experience in Manipulation Planning: Setting the Right Goals.

Anca D. Dragan, Geoffrey J. Gordon, Siddhartha S. Srinivasa

Proceedings of the Robotics Research, 2011

Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions.

Min Chi, Kenneth R. Koedinger, Geoffrey J. Gordon, Pamela W. Jordan, Kurt VanLehn

Proceedings of the 4th International Conference on Educational Data Mining, 2011

An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems.

Byron Boots, Geoffrey J. Gordon

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Reduced-Rank Hidden Markov Models.

Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

No-Regret Reductions for Imitation Learning and Structured Prediction

Stéphane Ross, Geoffrey J. Gordon, J. Andrew Bagnell

CoRR, 2010

Decentralized estimation and control of graph connectivity for mobile sensor networks.

Peng Yang, Randy A. Freeman, Geoffrey J. Gordon, Kevin M. Lynch, Siddhartha S. Srinivasa, Rahul Sukthankar

Autom., 2010

A Bayesian Matrix Factorization Model for Relational Data.

Ajit Paul Singh, Geoffrey J. Gordon

Proceedings of the UAI 2010, 2010

Predictive State Temporal Difference Learning.

Byron Boots, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Hilbert Space Embeddings of Hidden Markov Models.

Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Automatic state discovery for unstructured audio scene classification.

Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, Geoffrey J. Gordon, Abhishek Sharma

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

The Block Diagonal Infinite Hidden Markov Model.

Thomas S. Stepleton, Zoubin Ghahramani, Geoffrey J. Gordon, Tai Sing Lee

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

First-Order Mixed Integer Linear Programming.

Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudík

Proceedings of the UAI 2009, 2009

A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games.

Miroslav Dudík, Geoffrey J. Gordon

Proceedings of the UAI 2009, 2009

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

J. Mach. Learn. Res., 2008

Anytime search in dynamic graphs.

Maxim Likhachev, Dave Ferguson, Geoffrey J. Gordon, Anthony Stentz, Sebastian Thrun

Artif. Intell., 2008

A Unified View of Matrix Factorization Models.

Ajit Paul Singh, Geoffrey J. Gordon

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Relational learning via collective matrix factorization.

Ajit Paul Singh, Geoffrey J. Gordon

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Closed-form supervised dimensionality reduction with generalized linear models.

Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira, Geoffrey J. Gordon

Proceedings of the Machine Learning, 2008

No-regret learning in convex games.

Geoffrey J. Gordon, Amy Greenwald, Casey Marks

Proceedings of the Machine Learning, 2008

No-regret learning and a mechanism for distributed multiagent planning.

Jan-P. Calliess, Geoffrey J. Gordon

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 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

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Fast State Discovery for HMM Model Selection and Learning.

Sajid M. Siddiqi, Geoffrey J. Gordon, Andrew W. Moore

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A Latent Space Approach to Dynamic Embedding of Co-occurrence Data.

Purnamrita Sarkar, Sajid M. Siddiqi, Geoffrey J. Gordon

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games.

H. Brendan McMahan, Geoffrey J. Gordon

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Agendas for multi-agent learning.

Geoffrey J. Gordon

Artif. Intell., 2007

A Constraint Generation Approach to Learning Stable Linear Dynamical Systems.

Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Automated image analysis of protein localization in budding yeast.

Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, Robert F. Murphy

Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Adaptive Sampling for Multi-Robot Wide-Area Exploration.

Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan, Pradeep K. Khosla

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

A Unification of Extensive-Form Games and Markov Decision Processes.

H. Brendan McMahan, Geoffrey J. Gordon

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Planning under uncertainty in robotics.

Nikos Vlassis, Geoffrey J. Gordon, Joelle Pineau

Robotics Auton. Syst., 2006

Anytime Point-Based Approximations for Large POMDPs.

Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun

J. Artif. Intell. Res., 2006

Visibility-based Pursuit-evasion with Limited Field of View.

Brian P. Gerkey, Sebastian Thrun, Geoffrey J. Gordon

Int. J. Robotics Res., 2006

Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games.

Chris Murray, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

No-regret Algorithms for Online Convex Programs.

Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A novel approximate inference approach to automated classification of protein subcellular location patterns in multi-cell images.

Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Murphy

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Approximate Kalman Filters for Embedding Author-Word Co-occurrence Data over Time.

Purnamrita Sarkar, Sajid M. Siddiqi, Geoffrey J. Gordon

Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

The support vector decomposition machine.

Francisco Pereira, Geoffrey J. Gordon

Proceedings of the Machine Learning, 2006

A Novel Graphical Model Approach to Segmenting Cell Images.

Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, Robert F. Murphy

Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

Decentralized planning under uncertainty for teams of communicating agents.

Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos Vlassis

Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

2005

Finding Approximate POMDP solutions Through Belief Compression.

Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun

J. Artif. Intell. Res., 2005

POMDP Planning for Robust Robot Control.

Joelle Pineau, Geoffrey J. Gordon

Proceedings of the Robotics Research: Results of the 12th International Symposium, 2005

Game Theoretic Control for Robot Teams.

Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jeff G. Schneider, Sebastian Thrun

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees.

H. Brendan McMahan, Maxim Likhachev, Geoffrey J. Gordon

Proceedings of the Machine Learning, 2005

Fast Exact Planning in Markov Decision Processes.

H. Brendan McMahan, Geoffrey J. Gordon

Proceedings of the Fifteenth International Conference on Automated Planning and Scheduling (ICAPS 2005), 2005

Anytime Dynamic A*: An Anytime, Replanning Algorithm.

Maxim Likhachev, David I. Ferguson, Geoffrey J. Gordon, Anthony Stentz, Sebastian Thrun

Proceedings of the Fifteenth International Conference on Automated Planning and Scheduling (ICAPS 2005), 2005

2004

Real-time fault diagnosis [robot fault diagnosis].

Vandi Verma, Geoffrey J. Gordon, Reid G. Simmons, Sebastian Thrun

IEEE Robotics Autom. Mag., 2004

Planning for Markov Decision Processes with Sparse Stochasticity.

Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning low dimensional predictive representations.

Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun

Proceedings of the Machine Learning, 2004

Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs.

Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jeff G. Schneider, Sebastian Thrun

Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003

Decentralized Sensor Fusion with Distributed Particle Filters.

Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun

Proceedings of the UAI '03, 2003

Policy-contingent abstraction for robust robot control.

Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun

Proceedings of the UAI '03, 2003

Applying Metric-Trees to Belief-Point POMDPs.

Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

ARA*: Anytime A* with Provable Bounds on Sub-Optimality.

Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Model Uncertainty in Classical Conditioning.

Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. Gordon, David S. Touretzky

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Auction Mechanism Design for Multi-Robot Coordination.

Curt A. Bererton, Geoffrey J. Gordon, Sebastian Thrun

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 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

Proceedings of the IJCAI-03, 2003

Point-based value iteration: An anytime algorithm for POMDPs.

Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun

Proceedings of the IJCAI-03, 2003

Planning in the Presence of Cost Functions Controlled by an Adversary.

H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum

Proceedings of the Machine Learning, 2003

Planning under Uncertainty for Reliable Health Care Robotics.

Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun

Proceedings of the Field and Service Robotics, Recent Advances in Reserch and Applications, 2003

Locating moving entities in indoor environments with teams of mobile robots.

Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun

Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 2003

2002

Distributed Planning in Hierarchical Factored MDPs.

Carlos Guestrin, Geoffrey J. Gordon

Proceedings of the UAI '02, 2002

Exponential Family PCA for Belief Compression in POMDPs.

Nicholas Roy, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Generalized² Linear² Models.

Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2000

Reinforcement Learning with Function Approximation Converges to a Region.

Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Learning Filaments.

Geoffrey J. Gordon, Andrew W. Moore

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Regret Bounds for Prediction Problems.

Geoffrey J. Gordon

Proceedings of the Twelfth Annual Conference on Computational Learning Theory, 1999

1997

An evaluation of machine-learning methods for predicting pneumonia mortality.

Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas S. Richardson, Peter Spirtes

Artif. Intell. Medicine, 1997

1996

Exploratory Analysis of Speedup Learning Data Using Epectation Maximization.

Alberto Maria Segre, Geoffrey J. Gordon, Charles Elkan

Artif. Intell., 1996

Nonparametric Statistical Methods for Experimental Evaluations of Speedup Learning.

Geoffrey J. Gordon, Alberto Maria Segre

Proceedings of the Machine Learning, 1996

1995

Stable Fitted Reinforcement Learning.

Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Stable Function Approximation in Dynamic Programming.

Geoffrey J. Gordon

Proceedings of the Machine Learning, 1995

1993

Sholom M. Weiss and Casimir A. Kulikowski, Computer Systems That Learn.

Alberto Maria Segre, Geoffrey J. Gordon

Artif. Intell., 1993