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All publications by Geoffrey J. Gordon
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Supervised Learning for Dynamical System Learning
Ahmed Hefny, Carlton Downey and Geoffrey J. Gordon
Advances in Neural Information Processing Systems 28, 2015


A Spectral Learning Approach to Range-Only SLAM
Byron Boots and Geoffrey J. Gordon
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Two-Manifold Problems with Applications to Nonlinear System Identification
Byron Boots and Geoffrey J. Gordon
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


An Instantiation-Based Theorem Prover for First-Order Programming
Erik Zawadzki, Geoffrey J. Gordon and André Platzer
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross, Geoffrey J. Gordon and Drew Bagnell
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources
Sue A. Hong and Geoffrey J. Gordon
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Hilbert Space Embeddings of Hidden Markov Models
Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon and Alex J. Smola
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Predictive State Temporal Difference Learning
Byron Boots and Geoffrey J. Gordon
Advances in Neural Information Processing Systems 23, 2010


Reduced-Rank Hidden Markov Models
Sajid M. Siddiqi, Byron Boots and Geoffrey J. Gordon
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


The Block Diagonal Infinite Hidden Markov Model
Thomas S. Stepleton, Zoubin Ghahramani, Geoffrey J. Gordon and Tai S. Lee
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Closed-form supervised dimensionality reduction with generalized linear models
Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira and Geoffrey J. Gordon
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


No-regret learning in convex games
Geoffrey J. Gordon, Amy Greenwald and Casey Marks
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns
Shann-ching Chen, Geoffrey J. Gordon and Robert F. Murphy
Journal of Machine Learning Research, 2008


A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Byron Boots, Geoffrey J. Gordon and Sajid M. Siddiqi
Advances in Neural Information Processing Systems 20, 2007


Fast State Discovery for HMM Model Selection and Learning
Sajid M. Siddiqi, Geoffrey J. Gordon and Andrew W. Moore
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


A Latent Space Approach to Dynamic Embedding of Co-occurrence Data
Purnamrita Sarkar, Sajid M. Siddiqi and Geoffrey J. Gordon
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games
H. B. Mcmahan and Geoffrey J. Gordon
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


The support vector decomposition machine
Francisco Pereira and Geoffrey J. Gordon
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


No-regret Algorithms for Online Convex Programs
Geoffrey J. Gordon
Advances in Neural Information Processing Systems 19, 2006


Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games
Chris Murray and Geoffrey J. Gordon
Advances in Neural Information Processing Systems 19, 2006


Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees
H. B. Mcmahan, Maxim Likhachev and Geoffrey J. Gordon
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Learning low dimensional predictive representations
Matthew Rosencrantz, Geoffrey J. Gordon and Sebastian Thrun
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Planning for Markov Decision Processes with Sparse Stochasticity
Maxim Likhachev, Sebastian Thrun and Geoffrey J. Gordon
Advances in Neural Information Processing Systems 17, 2004


Planning in the Presence of Cost Functions Controlled by an Adversary
H. B. Mcmahan, Geoffrey J. Gordon and Avrim Blum
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Model Uncertainty in Classical Conditioning
Aaron C. Courville, Geoffrey J. Gordon, David S. Touretzky and Nathaniel D. Daw
Advances in Neural Information Processing Systems 16, 2003


Auction Mechanism Design for Multi-Robot Coordination
Curt Bererton, Geoffrey J. Gordon and Sebastian Thrun
Advances in Neural Information Processing Systems 16, 2003


ARA*: Anytime A* with Provable Bounds on Sub-Optimality
Maxim Likhachev, Geoffrey J. Gordon and Sebastian Thrun
Advances in Neural Information Processing Systems 16, 2003


Applying Metric-Trees to Belief-Point POMDPs
Joelle Pineau, Geoffrey J. Gordon and Sebastian Thrun
Advances in Neural Information Processing Systems 16, 2003


Exponential Family PCA for Belief Compression in POMDPs
Nicholas Roy and Geoffrey J. Gordon
Advances in Neural Information Processing Systems 15, 2002


Generalized$^2$ Linear$^2$ Models
Geoffrey J. Gordon
Advances in Neural Information Processing Systems 15, 2002