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Machine Learning Department, Carnegie Mellon University
List of publications from the DBLP Bibliography Server - FAQ
| 2012 | ||
|---|---|---|
| 85 | 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 | |
| 84 | Ajit Paul Singh, Geoffrey J. Gordon: A Bayesian Matrix Factorization Model for Relational Data CoRR abs/1203.3517: (2012) | |
| 2011 | ||
| 83 | Byron Boots, Geoffrey J. Gordon: An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems. AAAI 2011 | |
| 82 | 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 | |
| 81 | Geoffrey J. Gordon, Nicholas Roy, Sebastian Thrun: Finding Approximate POMDP solutions Through Belief Compression CoRR abs/1107.0053: (2011) | |
| 80 | Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun: Anytime Point-Based Approximations for Large POMDPs CoRR abs/1110.0027: (2011) | |
| 79 | Byron Boots, Geoffrey J. Gordon: Two-Manifold Problems CoRR abs/1112.6399: (2011) | |
| 78 | 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) | |
| 77 | Geoffrey J. Gordon, David B. Dunson: Preface. Journal of Machine Learning Research - Proceedings Track 15: 1-2 (2011) | |
| 76 | 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) | |
| 75 | 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) | |
| 74 | 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) | |
| 2010 | ||
| 73 | Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon: Closing the learning-planning loop with predictive state representations. AAMAS 2010: 1369-1370 | |
| 72 | Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, Geoffrey J. Gordon, Abhishek Sharma: Automatic state discovery for unstructured audio scene classification. ICASSP 2010: 2154-2157 | |
| 71 | Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola: Hilbert Space Embeddings of Hidden Markov Models. ICML 2010: 991-998 | |
| 70 | Byron Boots, Geoffrey J. Gordon: Predictive State Temporal Difference Learning. NIPS 2010: 271-279 | |
| 69 | Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon: Closing the Learning-Planning Loop with Predictive State Representations. Robotics: Science and Systems 2010 | |
| 68 | Ajit Singh, Geoffrey J. Gordon: A Bayesian Matrix Factorization Model for Relational Data. UAI 2010: 556-563 | |
| 67 | 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) | |
| 66 | Byron Boots, Geoffrey J. Gordon: Predictive State Temporal Difference Learning CoRR abs/1011.0041: (2010) | |
| 65 | Stéphane Ross, Geoffrey J. Gordon, J. Andrew Bagnell: No-Regret Reductions for Imitation Learning and Structured Prediction CoRR abs/1011.0686: (2010) | |
| 64 | Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon: Reduced-Rank Hidden Markov Models. Journal of Machine Learning Research - Proceedings Track 9: 741-748 (2010) | |
| 2009 | ||
| 63 | Miroslav Dudík, Geoffrey J. Gordon: A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games. UAI 2009: 151-160 | |
| 62 | Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudík: First-Order Mixed Integer Linear Programming. UAI 2009: 213-222 | |
| 61 | Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon: Reduced-Rank Hidden Markov Models CoRR abs/0910.0902: (2009) | |
| 60 | Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon: Closing the Learning-Planning Loop with Predictive State Representations CoRR abs/0912.2385: (2009) | |
| 59 | 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) | |
| 2008 | ||
| 58 | Michael Freed, Jaime G. Carbonell, Geoffrey J. Gordon, Jordan Hayes, Brad A. Myers, Daniel P. Siewiorek, Stephen Smith, Aaron Steinfeld, Anthony Tomasic: RADAR: A Personal Assistant that Learns to Reduce Email Overload. AAAI 2008: 1287-1293 | |
| 57 | Jan-P. Calliess, Geoffrey J. Gordon: No-regret learning and a mechanism for distributed multiagent planning. AAMAS (1) 2008: 509-516 | |
| 56 | Ajit Paul Singh, Geoffrey J. Gordon: A Unified View of Matrix Factorization Models. ECML/PKDD (2) 2008: 358-373 | |
| 55 | Geoffrey J. Gordon, Amy Greenwald, Casey Marks: No-regret learning in convex games. ICML 2008: 360-367 | |
| 54 | 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 | |
| 53 | Ajit Paul Singh, Geoffrey J. Gordon: Relational learning via collective matrix factorization. KDD 2008: 650-658 | |
| 52 | Maxim Likhachev, Dave Ferguson, Geoffrey J. Gordon, Anthony Stentz, Sebastian Thrun: Anytime search in dynamic graphs. Artif. Intell. 172(14): 1613-1643 (2008) | |
| 51 | 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) | |
| 2007 | ||
| 50 | H. Brendan McMahan, Geoffrey J. Gordon: A Unification of Extensive-Form Games and Markov Decision Processes. AAAI 2007: 86-93 | |
| 49 | Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan, Pradeep K. Khosla: Adaptive Sampling for Multi-Robot Wide-Area Exploration. ICRA 2007: 755-760 | |
| 48 | 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 | |
| 47 | Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon: A Constraint Generation Approach to Learning Stable Linear Dynamical Systems. NIPS 2007 | |
| 46 | Geoffrey J. Gordon: Agendas for multi-agent learning. Artif. Intell. 171(7): 392-401 (2007) | |
| 45 | 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) | |
| 44 | 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) | |
| 43 | 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) | |
| 2006 | ||
| 42 | Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos A. Vlassis: Decentralized planning under uncertainty for teams of communicating agents. AAMAS 2006: 249-256 | |
| 41 | Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, Robert F. Murphy: A Novel Graphical Model Approach to Segmenting Cell Images. CIBCB 2006: 1-8 | |
| 40 | Francisco Pereira, Geoffrey J. Gordon: The support vector decomposition machine. ICML 2006: 689-696 | |
| 39 | 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 | |
| 38 | Chris Murray, Geoffrey J. Gordon: Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games. NIPS 2006: 1001-1008 | |
| 37 | Geoffrey J. Gordon: No-regret Algorithms for Online Convex Programs. NIPS 2006: 489-496 | |
| 36 | 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) | |
| 35 | Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun: Anytime Point-Based Approximations for Large POMDPs. J. Artif. Intell. Res. (JAIR) 27: 335-380 (2006) | |
| 34 | Nikos A. Vlassis, Geoffrey J. Gordon, Joelle Pineau: Planning under uncertainty in robotics. Robotics and Autonomous Systems 54(11): 885-886 (2006) | |
| 2005 | ||
| 33 | H. Brendan McMahan, Geoffrey J. Gordon: Fast Exact Planning in Markov Decision Processes. ICAPS 2005: 151-160 | |
| 32 | Maxim Likhachev, David I. Ferguson, Geoffrey J. Gordon, Anthony Stentz, Sebastian Thrun: Anytime Dynamic A*: An Anytime, Replanning Algorithm. ICAPS 2005: 262-271 | |
| 31 | 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 | |
| 30 | Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jeff G. Schneider, Sebastian Thrun: Game Theoretic Control for Robot Teams. ICRA 2005: 1163-1169 | |
| 29 | Joelle Pineau, Geoffrey J. Gordon: POMDP Planning for Robust Robot Control. ISRR 2005: 69-82 | |
| 28 | Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun: Finding Approximate POMDP solutions Through Belief Compression. J. Artif. Intell. Res. (JAIR) 23: 1-40 (2005) | |
| 2004 | ||
| 27 | Brian P. Gerkey, Sebastian Thrun, Geoffrey J. Gordon: Visibility-Based Pursuit-Evasion with Limited Field of View. AAAI 2004: 20-27 | |
| 26 | 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 | |
| 25 | Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun: Learning low dimensional predictive representations. ICML 2004 | |
| 24 | Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun: Planning for Markov Decision Processes with Sparse Stochasticity. NIPS 2004 | |
| 2003 | ||
| 23 | Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun: Locating moving entities in indoor environments with teams of mobile robots. AAMAS 2003: 233-240 | |
| 22 | Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun: Planning under Uncertainty for Reliable Health Care Robotics. FSR 2003: 417-426 | |
| 21 | H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum: Planning in the Presence of Cost Functions Controlled by an Adversary. ICML 2003: 536-543 | |
| 20 | Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun: Point-based value iteration: An anytime algorithm for POMDPs. IJCAI 2003: 1025-1032 | |
| 19 | 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 | |
| 18 | Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun: ARA*: Anytime A* with Provable Bounds on Sub-Optimality. NIPS 2003 | |
| 17 | Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun: Applying Metric-Trees to Belief-Point POMDPs. NIPS 2003 | |
| 16 | Curt A. Bererton, Geoffrey J. Gordon, Sebastian Thrun: Auction Mechanism Design for Multi-Robot Coordination. NIPS 2003 | |
| 15 | Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. Gordon, David S. Touretzky: Model Uncertainty in Classical Conditioning. NIPS 2003 | |
| 14 | Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun: Policy-contingent abstraction for robust robot control. UAI 2003: 477-484 | |
| 13 | Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun: Decentralized Sensor Fusion with Distributed Particle Filters. UAI 2003: 493-500 | |
| 2002 | ||
| 12 | Nicholas Roy, Geoffrey J. Gordon: Exponential Family PCA for Belief Compression in POMDPs. NIPS 2002: 1635-1642 | |
| 11 | Geoffrey J. Gordon: Generalized2 Linear2 Models. NIPS 2002: 577-584 | |
| 10 | Carlos Guestrin, Geoffrey J. Gordon: Distributed Planning in Hierarchical Factored MDPs. UAI 2002: 197-206 | |
| 2000 | ||
| 9 | Geoffrey J. Gordon, Andrew Moore: Learning Filaments. ICML 2000: 335-342 | |
| 8 | Geoffrey J. Gordon: Reinforcement Learning with Function Approximation Converges to a Region. NIPS 2000: 1040-1046 | |
| 1999 | ||
| 7 | Geoffrey J. Gordon: Regret Bounds for Prediction Problems. COLT 1999: 29-40 | |
| 1997 | ||
| 6 | 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 Richardson, Peter Spirtes: An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 9(2): 107-138 (1997) | |
| 1996 | ||
| 5 | Geoffrey J. Gordon, Alberto Maria Segre: Nonparametric Statistical Methods for Experimental Evaluations of Speedup Learning. ICML 1996: 200-206 | |
| 4 | 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) | |
| 1995 | ||
| 3 | Geoffrey J. Gordon: Stable Function Approximation in Dynamic Programming. ICML 1995: 261-268 | |
| 2 | Geoffrey J. Gordon: Stable Fitted Reinforcement Learning. NIPS 1995: 1052-1058 | |
| 1993 | ||
| 1 | Alberto Maria Segre, Geoffrey J. Gordon: Sholom M. Weiss and Casimir A. Kulikowski, Computer Systems That Learn. Artif. Intell. 62(2): 363-378 (1993) | |
Colors in the list of coauthors
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