| 2008 |
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| Jonathan Huang, Carlos Guestrin, and Leonidas Guibas (2008). "Inference for Distributions over the Permutation Group." Technical report. Machine Learning Department, Carnegie Mellon University, CMU-ML-08-108.
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| Andreas Krause, Ajit Singh, and Carlos Guestrin (2008). "Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies." Journal of Machine Learning Research, 9, 235-284.
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| 2007 |
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| Jonathan Huang, Carlos Guestrin, and Leonidas Guibas (2007). "Efficient Inference for Distributions on Permutations." In Advances in Neural Information Processing Systems (NIPS).
Honorable Mention for Outstanding Student Paper.
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talk |
poster |
| Andreas Krause, Brendan McMahan, Carlos Guestrin, and Anupam Gupta (2007). "Selecting Observations Against Adversarial Objectives." In Advances in Neural Information Processing Systems (NIPS).
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poster |
| Purnamrita Sarkar, Sajid Siddiqi, and Geoffrey J. Gordon (2007). "A Latent Space Approach to Dynamic Embedding of Cooccurrence Data." In Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AI-STATS).
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talk |
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| Sajid Siddiqi, Byron Boots, and Geoffrey J. Gordon (2007). "A Constraint Generation Approach to Learning Stable Linear Dynamical Systems." In Advances in Neural Information Processing Systems (NIPS).
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talk |
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| Anton Chechetka and Carlos Guestrin (2007). "Efficient Principled Learning of Thin Junction Trees." In Advances in Neural Information Processing Systems (NIPS).
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poster |
| Sajid Siddiqi, Geoffrey J. Gordon, and Andrew W. Moore (2007). "Fast State Discovery for HMM Model Selection and Learning." In Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AI-STATS).
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talk |
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| Bilge Mutlu, Andreas Krause, Jodi Forlizzi, Carlos Guestrin, and Jessica Hodgins (2007). "Robust, Low-cost, Non-intrusive Sensing and Recognition of Seated Postures." ACM Symposium on User Interface Software and Technology (UIST).
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talk |
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| Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen, and Natalie Glance (2007). "Cost-effective Outbreak Detection in Networks." ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Winner of the Best Paper Award.
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long |
talk |
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| Andreas Krause and Carlos Guestrin (2007). "Near-optimal Observation Selection using Submodular Functions." National Conference on Artificial Intelligence (AAAI), Nectar track.
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talk |
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| Alexandra Meliou, Andreas Krause, Carlos Guestrin, and Joseph M. Hellerstein (2007). "Nonmyopic Informative Path Planning in Spatio-Temporal Models." National Conference on Artificial Intelligence (AAAI).
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talk |
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| Andreas Krause and Carlos Guestrin (2007). "Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach." International Conference on Machine Learning (ICML).
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long |
talk |
poster |
| Amarjeet Singh, Andreas Krause, Carlos Guestrin, William Kaiser, and Maxim Batalin (2007). "Efficient Planning of Informative Paths for Multiple Robots." International Joint Conference on Artificial Intelligence (IJCAI).
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long |
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| 2006 |
|---|
| Stanislav Funiak, Carlos Guestrin, Mark Paskin, and Rahul Sukthankar (2006). "Distributed Inference in Dynamical Systems." Advances in Neural Information Processing Systems 19.
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poster |
| Andreas Krause, Jure Leskovec, and Carlos Guestrin (2006). "Data Association for Topic Intensity Tracking." International conference on Machine learning (ICML).
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long |
talk |
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| Alexandra Meliou, David Chu, Carlos Guestrin, Joseph Hellerstein, and Wei Hong (2006). "Data Gathering Tours in Sensor Networks." Fifth International Conference on Information Processing in Sensor Networks (IPSN).
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talk |
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| Stanislav Funiak, Carlos Guestrin, Rahul Sukthankar, and Mark Paskin (2006). "Distributed Localization of Networked Cameras." Fifth International Conference on Information Processing in Sensor Networks (IPSN'06) (pp. 34-42).
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talk |
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| Andreas Krause, Carlos Guestrin, Anupam Gupta, and Jon Kleinberg (2006). "Near-optimal Sensor Placements: Maximizing Information while Minimizing Communication Cost." International Symposium on Information Processing in Sensor Networks (IPSN).
Winner of the Best Paper Award.
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talk |
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| Branislav Kveton, Milos Hauskrecht, and Carlos Guestrin (2006). "Solving Factored MDPs with Hybrid State and Action Variables." Journal of Artificial Intelligence Research (JAIR), 27.
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| 2005 |
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| Sajid Siddiqi and Andrew W. Moore (2005). "Fast Inference and Learning in Large State Space HMMs." Proceedings of the Twenty-Second International Conference on Machine Learning (ICML).
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talk |
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| Amol Deshpande, Carlos Guestrin, Sam Madden, Joseph Hellerstein, and Wei Hong (2005). "Model-based Approximate Querying in Sensor Networks." International Journal on Very Large Data Bases, 14(4), 417-443.
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| Vipul Singhvi, Andreas Krause, Carlos Guestrin, Jim Garrett, and H. Scott Matthews (2005). "Intelligent Light Control using Sensor Networks." ACM Conference on Embedded Networked Sensor Systems (SenSys).
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pdf |
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talk |
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| Carlos Guestrin, Andreas Krause, and Ajit Singh (2005). "Near-optimal Sensor Placements in Gaussian Processes." International Conference on Machine Learning (ICML).
Winner of the Best Paper Runner-up Award.
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pdf |
long |
talk |
poster |
| Ben Taskar, Vassil Chatalbashev, Daphne Koller, and Carlos Guestrin (2005). "Learning Structured Prediction Models: A Large Margin Approach." 22nd International Conference on Machine Learning (ICML).
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pdf |
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| Andreas Krause and Carlos Guestrin (2005). "Near-optimal Value of Information in Graphical Models." Conference on Uncertainty in Artificial Intelligence (UAI).
Winner of the Best Paper Runner-up Award.
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pdf |
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talk |
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| Andreas Krause and Carlos Guestrin (2005). "Optimal Nonmyopic Value of Information in Graphical Models - Efficient Algorithms and Theoretical Limits." International Joint Conference on Artificial Intelligence (IJCAI).
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talk |
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| Bhaskara Marthi, David Latham, Stuart Russell, and Carlos Guestrin (2005). "Concurrent Hierarchical Reinforcement Learning." Nineteenth International Joint Conference on Artificial Intelligence (IJCAI).
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pdf |
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| Mark Paskin, Carlos Guestrin, and Jim McFadden (2005). "A Robust Architecture for Distributed Inference in Sensor Networks." Fourth International Conference on Information Processing in Sensor Networks (IPSN).
Winner of the Best Paper Award.
| bib/abs |
pdf |
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| Amol Deshpande, Carlos Guestrin, Wei Hong, and Sam Madden (2005). "Exploiting Correlated Attributes in Acquisitional Query Processing." 21st International Conference on Data Engineering (ICDE).
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pdf |
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| Amol Deshpande, Carlos Guestrin, and Sam Madden (2005). "Using Probabilistic Models for Data Management in Acquisitional Environments." 2nd Biennial Conference on Innovative Data Systems Research (CIDR).
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| 2004 |
|---|
| Amol Deshpande, Carlos Guestrin, Sam Madden, Joseph Hellerstein, and Wei Hong (2004). "Model-Driven Data Acquisition in Sensor Networks." 30th International Conference on Very Large Data Bases (VLDB).
Winner of the Best Paper Award.
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pdf |
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talk |
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| Mark Paskin and Carlos Guestrin (2004). "Robust Probabilistic Inference in Distributed Systems." Twentieth Conference on Uncertainty in Artificial Intelligence (UAI).
| bib/abs |
pdf |
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| Carlos Guestrin, Milos Hauskrecht, and Branislav Kveton (2004). "Solving Factored MDPs with Continuous and Discrete Variables." Twentieth Conference on Uncertainty in Artificial Intelligence (UAI).
| bib/abs |
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poster |
| Carlos Guestrin, Peter Bodik, Romain Thibaux, Mark Paskin, and Samuel Madden (2004). "Distributed Regression: an Efficient Framework for Modeling Sensor Network Data." Information Processing in Sensor Networks (IPSN).
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pdf |
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talk |
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| 2003 |
|---|
| Ben Taskar, Carlos Guestrin, and Daphne Koller (2003). "Max-Margin Markov Networks." Advances in Neural Information Processing Systems (NIPS).
Winner of the Best Paper Award.
| bib/abs |
pdf |
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| Carlos Guestrin, Daphne Koller, Chris Gearhart, and Neal Kanodia (2003). "Generalizing Plans to New Environments in Relational MDPs." International Joint Conference on Artificial Intelligence (IJCAI).
| bib/abs |
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talk |
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| Carlos Guestrin (2003). Planning Under Uncertainty in Complex Structured Environments. Doctoral dissertation, Computer Science Department, Stanford University.
| bib/abs |
pdf |
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talk |
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| Carlos Guestrin, Daphne Koller, Ronald Parr, and Shobha Venkataraman (2003). "Efficient Solution Algorithms for Factored MDPs." Journal of Artificial Intelligence Research (JAIR), 19, 399-468.
Winner of the 2007 IJCAI-JAIR Best Paper Prize.
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| M. Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe, and Chris Varma (2003). "Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion." Journal of Computational Biology (JCB), 10(3-4), 257-281.
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| 2002 |
|---|
| Carlos Guestrin and Geoffrey Gordon (2002). "Distributed Planning in Hierarchical Factored MDPs." Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 197-206).
| bib/abs |
pdf |
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talk |
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| Carlos Guestrin, Relu Patrascu, and Dale Schuurmans (2002). "Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs." Nineteenth International Conference on Machine Learning (ICML) (pp. 235-242).
| bib/abs |
pdf |
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| Carlos Guestrin, Shobha Venkataraman, and Daphne Koller (2002). "Context Specific Multiagent Coordination and Planning with Factored MDPs." Eighteenth National Conference on Artificial Intelligence (AAAI) (pp. 253-259).
| bib/abs |
pdf |
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poster |
| Carlos Guestrin, Michail Lagoudakis, and Ronald Parr (2002). "Coordinated Reinforcement Learning." Nineteenth International Conference on Machine Learning (ICML) (pp. 227-234).
| bib/abs |
pdf |
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| M. Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, and Jean-Claude Latombe (2002). "Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion." Sixth Annual International Conference on Research in Computational Molecular Biology (RECOMB) (pp. 12-21).
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| M. Serkan Apaydin, Carlos Guestrin, Chris Varma, Douglas L. Brutlag, and Jean-Claude Latombe (2002). "Stochastic Roadmap Simulation for the Study of Ligand-Protein Interactions." Bioinformatics, 18((Suppl. 2)), S18 - S26.
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| 2001 |
|---|
| Carlos Guestrin, Daphne Koller, and Ronald Parr (2001). "Multiagent Planning with Factored MDPs." Advances in Neural Information Processing Systems (NIPS) (pp. 1523-1530).
| bib/abs |
pdf |
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talk |
poster |
| Carlos Guestrin, Daphne Koller, and Ronald Parr (2001). "Max-norm Projections for Factored MDPs." International Joint Conference on Artificial Intelligence (IJCAI) (pp. 673-680).
| bib/abs |
pdf |
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talk |
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| Carlos Guestrin, Daphne Koller, and Ronald Parr (2001). "Solving Factored POMDPs with Linear Value Functions." IJCAI-01 workshop on Planning under Uncertainty and Incomplete Information (pp. 67-75).
| bib/abs |
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talk |
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| Carlos Guestrin and Dirk Ormoneit (2001). "Robust Combination of Local Controllers." 17th Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 178-185).
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talk |
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| 2000 |
|---|
| Fabio Cozman, Eric Krotkov, and Carlos Guestrin (2000). "Outdoor Position Estimation for Planetary Rovers." Autonomous Robots Journal, 9(2), 135-150.
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| 1998 |
|---|
| Carlos Guestrin, Fabio Cozman, and Eric Krotkov (1998). "Fast Software Image Stabilization with Color Registration." IEEE International Conference on Intelligent Robots and Systems (IROS 1998) (pp. 19-24).
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