Geoffrey J. Gordon

According to our database1, Geoffrey J. Gordon authored at least 114 papers between 1993 and 2019.

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2019
Efficient Multitask Feature and Relationship Learning.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

On Learning Invariant Representations for Domain Adaptation.
Proceedings of the 36th International Conference on Machine Learning, 2019

An Empirical Study of Example Forgetting during Deep Neural Network Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Deep Generative and Discriminative Domain Adaptation.
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.
PVLDB, 2018

Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Query-based Workload Forecasting for Self-Driving Database Management Systems.
Proceedings of the 2018 International Conference on Management of Data, 2018

Adversarial Multiple Source Domain Adaptation.
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.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

Recurrent Predictive State Policy Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Multiple Source Domain Adaptation with Adversarial Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Hidden Quantum Markov Models.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Automatic Database Management System Tuning Through Large-scale Machine Learning.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Linear Time Computation of Moments in Sum-Product Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Predictive State Recurrent Neural Networks.
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.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Learning to Smooth with Bidirectional Predictive State Inference Machines.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces.
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.
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.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Collapsed Variational Inference for Sum-Product Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Supervised Learning for Dynamical System Learning.
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.
J. Aerospace Inf. Sys., 2014

Fast and Improved SLEX Analysis of High-Dimensional Time Series.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

2013
Hilbert Space Embeddings of Predictive State Representations.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

A Generalization of SAT and #SAT for Robust Policy Evaluation.
Proceedings of the IJCAI 2013, 2013

A Spectral Learning Approach to Range-Only SLAM.
Proceedings of the 30th International Conference on Machine Learning, 2013

A Spectral Learning Approach to Knowledge Tracing.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

Exploring friend's influence in cultures in Twitter.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Individualized Bayesian Knowledge Tracing Models.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012
Two Manifold Problems with Applications to Nonlinear System Identification.
Proceedings of the 29th International Conference on Machine Learning, 2012

Lagrangian Relaxation for Large-Scale Multi-agent Planning.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

Identifying Culture and Leveraging Cultural Differences for Negotiation Agents.
Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012

Lagrangian relaxation for large-scale multi-agent planning.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Decision Support for Agent Populations in Uncertain and Congested Environments.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
An Instantiation-Based Theorem Prover for First-Order Programming.
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.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

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

Learning from Experience in Manipulation Planning: Setting the Right Goals.
Proceedings of the Robotics Research, 2011

Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Reduced-Rank Hidden Markov Models.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Decentralized estimation and control of graph connectivity for mobile sensor networks.
Automatica, 2010

A Bayesian Matrix Factorization Model for Relational Data.
Proceedings of the UAI 2010, 2010

Closing the Learning-Planning Loop with Predictive State Representations.
Proceedings of the Robotics: Science and Systems VI, 2010

Predictive State Temporal Difference Learning.
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.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Automatic state discovery for unstructured audio scene classification.
Proceedings of the IEEE International Conference on Acoustics, 2010

Closing the learning-planning loop with predictive state representations.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009
The Block Diagonal Infinite Hidden Markov Model.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

First-Order Mixed Integer Linear Programming.
Proceedings of the UAI 2009, 2009

A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games.
Proceedings of the UAI 2009, 2009

2008
Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns.
J. Mach. Learn. Res., 2008

Anytime search in dynamic graphs.
Artif. Intell., 2008

A Unified View of Matrix Factorization Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Relational learning via collective matrix factorization.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Closed-form supervised dimensionality reduction with generalized linear models.
Proceedings of the Machine Learning, 2008

No-regret learning in convex games.
Proceedings of the Machine Learning, 2008

No-regret learning and a mechanism for distributed multiagent planning.
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.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Fast State Discovery for HMM Model Selection and Learning.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A Latent Space Approach to Dynamic Embedding of Co-occurrence Data.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Agendas for multi-agent learning.
Artif. Intell., 2007

A Constraint Generation Approach to Learning Stable Linear Dynamical Systems.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Automated image analysis of protein localization in budding yeast.
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.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

A Unification of Extensive-Form Games and Markov Decision Processes.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Planning under uncertainty in robotics.
Robotics and Autonomous Systems, 2006

Anytime Point-Based Approximations for Large POMDPs.
J. Artif. Intell. Res., 2006

Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

No-regret Algorithms for Online Convex Programs.
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.
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.
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

The support vector decomposition machine.
Proceedings of the Machine Learning, 2006

A Novel Graphical Model Approach to Segmenting Cell Images.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

Decentralized planning under uncertainty for teams of communicating agents.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

2005
Finding Approximate POMDP solutions Through Belief Compression.
J. Artif. Intell. Res., 2005

POMDP Planning for Robust Robot Control.
Proceedings of the Robotics Research: Results of the 12th International Symposium, 2005

Game Theoretic Control for Robot Teams.
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.
Proceedings of the Machine Learning, 2005

Fast Exact Planning in Markov Decision Processes.
Proceedings of the Fifteenth International Conference on Automated Planning and Scheduling (ICAPS 2005), 2005

Anytime Dynamic A*: An Anytime, Replanning Algorithm.
Proceedings of the Fifteenth International Conference on Automated Planning and Scheduling (ICAPS 2005), 2005

2004
Real-time fault diagnosis [robot fault diagnosis].
IEEE Robot. Automat. Mag., 2004

Planning for Markov Decision Processes with Sparse Stochasticity.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning low dimensional predictive representations.
Proceedings of the Machine Learning, 2004

Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

Visibility-Based Pursuit-Evasion with Limited Field of View.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Decentralized Sensor Fusion with Distributed Particle Filters.
Proceedings of the UAI '03, 2003

Policy-contingent abstraction for robust robot control.
Proceedings of the UAI '03, 2003

Applying Metric-Trees to Belief-Point POMDPs.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

ARA*: Anytime A* with Provable Bounds on Sub-Optimality.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Model Uncertainty in Classical Conditioning.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Auction Mechanism Design for Multi-Robot Coordination.
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.
Proceedings of the IJCAI-03, 2003

Point-based value iteration: An anytime algorithm for POMDPs.
Proceedings of the IJCAI-03, 2003

Planning in the Presence of Cost Functions Controlled by an Adversary.
Proceedings of the Machine Learning, 2003

Planning under Uncertainty for Reliable Health Care Robotics.
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.
Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 2003

2002
Distributed Planning in Hierarchical Factored MDPs.
Proceedings of the UAI '02, 2002

Exponential Family PCA for Belief Compression in POMDPs.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Generalized2 Linear2 Models.
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.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

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

1997
An evaluation of machine-learning methods for predicting pneumonia mortality.
Artificial Intelligence in Medicine, 1997

1996
Exploratory Analysis of Speedup Learning Data Using Epectation Maximization.
Artif. Intell., 1996

Nonparametric Statistical Methods for Experimental Evaluations of Speedup Learning.
Proceedings of the Machine Learning, 1996

1995
Stable Fitted Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Stable Function Approximation in Dynamic Programming.
Proceedings of the Machine Learning, 1995

1993
Sholom M. Weiss and Casimir A. Kulikowski, Computer Systems That Learn.
Artif. Intell., 1993


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