Geoffrey J. Gordon

Machine Learning Department, Carnegie Mellon University

	2013
i16		Carlos Guestrin, Geoffrey J. Gordon: Distributed Planning in Hierarchical Factored MDPs. CoRR abs/1301.0571 (2013)
	2012
c59		Pradeep Varakantham, Shih-Fen Cheng, Geoffrey J. Gordon, Asrar Ahmed: Decision Support for Agent Populations in Uncertain and Congested Environments. AAAI 2012
c58		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: 1227-1228
c57		Brian D. Ziebart, Miroslav Dudík, Geoffrey J. Gordon, Katia P. Sycara, Wendi L. Adair, Jeanne Brett: Identifying Culture and Leveraging Cultural Differences for Negotiation Agents. HICSS 2012: 618-627
c56		Byron Boots, Geoffrey J. Gordon: Two Manifold Problems with Applications to Nonlinear System Identification. ICML 2012
i15		Ajit Paul Singh, Geoffrey J. Gordon: A Bayesian Matrix Factorization Model for Relational Data. CoRR abs/1203.3517 (2012)
i14		Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudík: First-Order Mixed Integer Linear Programming. CoRR abs/1205.2644 (2012)
i13		Miroslav Dudík, Geoffrey J. Gordon: A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games. CoRR abs/1205.2649 (2012)
i12		Byron Boots, Geoffrey J. Gordon: Two-Manifold Problems with Applications to Nonlinear System Identification. CoRR abs/1206.4648 (2012)
i11		Byron Boots, Geoffrey J. Gordon: A Spectral Learning Approach to Range-Only SLAM. CoRR abs/1207.2491 (2012)
i10		Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun: Decentralized Sensor Fusion With Distributed Particle Filters. CoRR abs/1212.2493 (2012)
i9		Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun: Policy-contingent abstraction for robust robot control. CoRR abs/1212.2495 (2012)
i8		Geoffrey J. Gordon: Fast Solutions to Projective Monotone Linear Complementarity Problems. CoRR abs/1212.6958 (2012)
	2011
j21		Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon: Closing the learning-planning loop with predictive state representations. I. J. Robotic Res. 30(7): 954-966 (2011)
j20		Geoffrey J. Gordon, David B. Dunson: Preface. Journal of Machine Learning Research - Proceedings Track 15: 1-2 (2011)
j19		Sue Ann Hong, Geoffrey J. Gordon: Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources. Journal of Machine Learning Research - Proceedings Track 15: 351-360 (2011)
j18		Stéphane Ross, Geoffrey J. Gordon, Drew Bagnell: A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning. Journal of Machine Learning Research - Proceedings Track 15: 627-635 (2011)
j17		Erik Zawadzki, Geoffrey J. Gordon, André Platzer: An Instantiation-Based Theorem Prover for First-Order Programming. Journal of Machine Learning Research - Proceedings Track 15: 855-863 (2011)
c55		Byron Boots, Geoffrey J. Gordon: An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems. AAAI 2011
c54		Min Chi, Kenneth R. Koedinger, Geoffrey J. Gordon, Pamela W. Jordan, Kurt VanLehn: Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions. EDM 2011: 61-70
i7		Geoffrey J. Gordon, Nicholas Roy, Sebastian Thrun: Finding Approximate POMDP solutions Through Belief Compression. CoRR abs/1107.0053 (2011)
i6		Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun: Anytime Point-Based Approximations for Large POMDPs. CoRR abs/1110.0027 (2011)
i5		Byron Boots, Geoffrey J. Gordon: Two-Manifold Problems. CoRR abs/1112.6399 (2011)
	2010
j16		Peng Yang, Randy A. Freeman, Geoffrey J. Gordon, Kevin M. Lynch, Siddhartha S. Srinivasa, Rahul Sukthankar: Decentralized estimation and control of graph connectivity for mobile sensor networks. Automatica 46(2): 390-396 (2010)
j15		Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon: Reduced-Rank Hidden Markov Models. Journal of Machine Learning Research - Proceedings Track 9: 741-748 (2010)
c53		Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon: Closing the learning-planning loop with predictive state representations. AAMAS 2010: 1369-1370
c52		Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, Geoffrey J. Gordon, Abhishek Sharma: Automatic state discovery for unstructured audio scene classification. ICASSP 2010: 2154-2157
c51		Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola: Hilbert Space Embeddings of Hidden Markov Models. ICML 2010: 991-998
c50		Byron Boots, Geoffrey J. Gordon: Predictive State Temporal Difference Learning. NIPS 2010: 271-279
c49		Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon: Closing the Learning-Planning Loop with Predictive State Representations. Robotics: Science and Systems 2010
c48		Ajit Singh, Geoffrey J. Gordon: A Bayesian Matrix Factorization Model for Relational Data. UAI 2010: 556-563
i4		Byron Boots, Geoffrey J. Gordon: Predictive State Temporal Difference Learning. CoRR abs/1011.0041 (2010)
i3		Stéphane Ross, Geoffrey J. Gordon, J. Andrew Bagnell: No-Regret Reductions for Imitation Learning and Structured Prediction. CoRR abs/1011.0686 (2010)
	2009
j14		Thomas S. Stepleton, Zoubin Ghahramani, Geoffrey J. Gordon, Tai Sing Lee: The Block Diagonal Infinite Hidden Markov Model. Journal of Machine Learning Research - Proceedings Track 5: 552-559 (2009)
c47		Miroslav Dudík, Geoffrey J. Gordon: A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games. UAI 2009: 151-160
c46		Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudík: First-Order Mixed Integer Linear Programming. UAI 2009: 213-222
i2		Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon: Reduced-Rank Hidden Markov Models. CoRR abs/0910.0902 (2009)
i1		Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon: Closing the Learning-Planning Loop with Predictive State Representations. CoRR abs/0912.2385 (2009)
	2008
j13		Maxim Likhachev, Dave Ferguson, Geoffrey J. Gordon, Anthony Stentz, Sebastian Thrun: Anytime search in dynamic graphs. Artif. Intell. 172(14): 1613-1643 (2008)
j12		Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Murphy: Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns. Journal of Machine Learning Research 9: 651-682 (2008)
c45		Michael Freed, Jaime G. Carbonell, Geoffrey J. Gordon, Jordan Hayes, Brad A. Myers, Daniel P. Siewiorek, Stephen F. Smith, Aaron Steinfeld, Anthony Tomasic: RADAR: A Personal Assistant that Learns to Reduce Email Overload. AAAI 2008: 1287-1293
c44		Jan-P. Calliess, Geoffrey J. Gordon: No-regret learning and a mechanism for distributed multiagent planning. AAMAS (1) 2008: 509-516
c43		Geoffrey J. Gordon, Amy Greenwald, Casey Marks: No-regret learning in convex games. ICML 2008: 360-367
c42		Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira, Geoffrey J. Gordon: Closed-form supervised dimensionality reduction with generalized linear models. ICML 2008: 832-839
c41		Ajit Paul Singh, Geoffrey J. Gordon: Relational learning via collective matrix factorization. KDD 2008: 650-658
c40		Ajit Paul Singh, Geoffrey J. Gordon: A Unified View of Matrix Factorization Models. ECML/PKDD (2) 2008: 358-373
	2007
j11		Geoffrey J. Gordon: Agendas for multi-agent learning. Artif. Intell. 171(7): 392-401 (2007)
j10		H. Brendan McMahan, Geoffrey J. Gordon: A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games. Journal of Machine Learning Research - Proceedings Track 2: 323-330 (2007)
j9		Purnamrita Sarkar, Sajid M. Siddiqi, Geoffrey J. Gordon: A Latent Space Approach to Dynamic Embedding of Co-occurrence Data. Journal of Machine Learning Research - Proceedings Track 2: 420-427 (2007)
j8		Sajid M. Siddiqi, Geoffrey J. Gordon, Andrew W. Moore: Fast State Discovery for HMM Model Selection and Learning. Journal of Machine Learning Research - Proceedings Track 2: 492-499 (2007)
c39		H. Brendan McMahan, Geoffrey J. Gordon: A Unification of Extensive-Form Games and Markov Decision Processes. AAAI 2007: 86-93
c38		Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan, Pradeep K. Khosla: Adaptive Sampling for Multi-Robot Wide-Area Exploration. ICRA 2007: 755-760
c37		Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, Robert F. Murphy: Automated image analysis of protein localization in budding yeast. ISMB/ECCB (Supplement of Bioinformatics) 2007: 66-71
c36		Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon: A Constraint Generation Approach to Learning Stable Linear Dynamical Systems. NIPS 2007
	2006
j7		Brian P. Gerkey, Sebastian Thrun, Geoffrey J. Gordon: Visibility-based Pursuit-evasion with Limited Field of View. I. J. Robotic Res. 25(4): 299-315 (2006)
j6		Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun: Anytime Point-Based Approximations for Large POMDPs. J. Artif. Intell. Res. (JAIR) 27: 335-380 (2006)
j5		Nikos A. Vlassis, Geoffrey J. Gordon, Joelle Pineau: Planning under uncertainty in robotics. Robotics and Autonomous Systems 54(11): 885-886 (2006)
c35		Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos A. Vlassis: Decentralized planning under uncertainty for teams of communicating agents. AAMAS 2006: 249-256
c34		Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, Robert F. Murphy: A Novel Graphical Model Approach to Segmenting Cell Images. CIBCB 2006: 1-8
c33		Francisco Pereira, Geoffrey J. Gordon: The support vector decomposition machine. ICML 2006: 689-696
c32		Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Murphy: A novel approximate inference approach to automated classification of protein subcellular location patterns in multi-cell images. ISBI 2006: 558-561
c31		Geoffrey J. Gordon: No-regret Algorithms for Online Convex Programs. NIPS 2006: 489-496
c30		Chris Murray, Geoffrey J. Gordon: Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games. NIPS 2006: 1001-1008
	2005
j4		Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun: Finding Approximate POMDP solutions Through Belief Compression. J. Artif. Intell. Res. (JAIR) 23: 1-40 (2005)
c29		H. Brendan McMahan, Geoffrey J. Gordon: Fast Exact Planning in Markov Decision Processes. ICAPS 2005: 151-160
c28		Maxim Likhachev, David I. Ferguson, Geoffrey J. Gordon, Anthony Stentz, Sebastian Thrun: Anytime Dynamic A*: An Anytime, Replanning Algorithm. ICAPS 2005: 262-271
c27		H. Brendan McMahan, Maxim Likhachev, Geoffrey J. Gordon: Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees. ICML 2005: 569-576
c26		Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jeff G. Schneider, Sebastian Thrun: Game Theoretic Control for Robot Teams. ICRA 2005: 1163-1169
c25		Joelle Pineau, Geoffrey J. Gordon: POMDP Planning for Robust Robot Control. ISRR 2005: 69-82
	2004
c24		Brian P. Gerkey, Sebastian Thrun, Geoffrey J. Gordon: Visibility-Based Pursuit-Evasion with Limited Field of View. AAAI 2004: 20-27
c23		Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jeff G. Schneider, Sebastian Thrun: Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs. AAMAS 2004: 136-143
c22		Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun: Learning low dimensional predictive representations. ICML 2004
c21		Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun: Planning for Markov Decision Processes with Sparse Stochasticity. NIPS 2004
	2003
c20		Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun: Locating moving entities in indoor environments with teams of mobile robots. AAMAS 2003: 233-240
c19		Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun: Planning under Uncertainty for Reliable Health Care Robotics. FSR 2003: 417-426
c18		H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum: Planning in the Presence of Cost Functions Controlled by an Adversary. ICML 2003: 536-543
c17		Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun: Point-based value iteration: An anytime algorithm for POMDPs. IJCAI 2003: 1025-1032
c16		Sebastian Thrun, Geoffrey J. Gordon, Frank Pfenning, Mary Berna, Brennan Sellner, Brad Lisien: A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data. IJCAI 2003: 1427-1428
c15		Curt A. Bererton, Geoffrey J. Gordon, Sebastian Thrun: Auction Mechanism Design for Multi-Robot Coordination. NIPS 2003
c14		Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. Gordon, David S. Touretzky: Model Uncertainty in Classical Conditioning. NIPS 2003
c13		Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun: ARA*: Anytime A* with Provable Bounds on Sub-Optimality. NIPS 2003
c12		Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun: Applying Metric-Trees to Belief-Point POMDPs. NIPS 2003
c11		Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun: Policy-contingent abstraction for robust robot control. UAI 2003: 477-484
c10		Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun: Decentralized Sensor Fusion with Distributed Particle Filters. UAI 2003: 493-500
	2002
c9		Geoffrey J. Gordon: Generalized2 Linear2 Models. NIPS 2002: 577-584
c8		Nicholas Roy, Geoffrey J. Gordon: Exponential Family PCA for Belief Compression in POMDPs. NIPS 2002: 1635-1642
c7		Carlos Guestrin, Geoffrey J. Gordon: Distributed Planning in Hierarchical Factored MDPs. UAI 2002: 197-206
	2000
c6		Geoffrey J. Gordon, Andrew Moore: Learning Filaments. ICML 2000: 335-342
c5		Geoffrey J. Gordon: Reinforcement Learning with Function Approximation Converges to a Region. NIPS 2000: 1040-1046
	1999
c4		Geoffrey J. Gordon: Regret Bounds for Prediction Problems. COLT 1999: 29-40
	1997
j3		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: An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 9(2): 107-138 (1997)
	1996
j2		Alberto Maria Segre, Geoffrey J. Gordon, Charles Elkan: Exploratory Analysis of Speedup Learning Data Using Epectation Maximization. Artif. Intell. 85(1-2): 301-319 (1996)
c3		Geoffrey J. Gordon, Alberto Maria Segre: Nonparametric Statistical Methods for Experimental Evaluations of Speedup Learning. ICML 1996: 200-206
	1995
c2		Geoffrey J. Gordon: Stable Function Approximation in Dynamic Programming. ICML 1995: 261-268
c1		Geoffrey J. Gordon: Stable Fitted Reinforcement Learning. NIPS 1995: 1052-1058
	1993
j1		Alberto Maria Segre, Geoffrey J. Gordon: Sholom M. Weiss and Casimir A. Kulikowski, Computer Systems That Learn. Artif. Intell. 62(2): 363-378 (1993)

Coauthor Index

Colors in the list of coauthors

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