Carlos Guestrin

Publications in Chronological Order

More details about our publications along with slides for the talks can be found in the Select Lab page.

bullet Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies;
Andreas Krause, Ajit Singh and Carlos Guestrin;
In the Journal of Machine Learning Research (JMLR), Volume 9, pp. 235--284, 2008.
[PDF version]

bullet Efficient Inference for Distributions on Permutations;
Jonathan Huang, Carlos Guestrin and Leo Guibas;
In Advances in Neural Information Processing Systems (NIPS 2007), Vancouver, Canada, December 2007.
[ PDF version] [ PPT Slides] Winner of the Honorable Mention for the Outstanding Paper Award.

bullet Selecting Observations Against Adversarial Objectives;
Andreas Krause, Brendan McMahan, Carlos Guestrin and Anupam Gupta;
In Advances in Neural Information Processing Systems (NIPS 2007), Vancouver, Canada, December 2007.
[ PDF version] [ PPT Slides]

bullet Efficient Principled Learning of Thin Junction Trees;
Anton Chechetka and Carlos Guestrin;
In Advances in Neural Information Processing Systems (NIPS 2007), Vancouver, Canada, December 2007.
[ PDF version] [ PPT Slides]

bullet Robust, Low-Cost, Non-Intrusive Recognition of Seated Postures;
Bilge Mutlu, Andreas Krause, Jodi Forlizzi, Carlos Guestrin and Jessica Hodgins;
in the 20th ACM Symposium on User Interface Software and Technology (UIST), Newport, October 2007.
[PDF version]

bullet Cost-effective Outbreak Detection in Networks;
Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne VanBriesen and Natalie Glance;
in the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), San Jose, August 2007.
[PDF version] [Longer version with proofs] Winner of the Best Paper Award.

bullet Nonmyopic Informative Path Planning in Spatio-Temporal Models;
Alexandra Meliou, Andreas Krause, Carlos Guestrin and Joe Hellerstein;
in the 22nd Conference on Artificial Intelligence (AAAI), Vancouver, July 2007.
[Updated PDF version]

bullet Near-optimal Observation Selection Using Submodular Functions;
Andreas Krause and Carlos Guestrin;
a survey paper for the Nectar track in the 22nd Conference on Artificial Intelligence (AAAI), Vancouver, July 2007.
[PDF version]

bullet Nonmyopic Active Learning of Gaussian Processes: An Exploration-Exploitation Approach;
Andreas Krause and Carlos Guestrin;
In the 24th International Conference on Machine Learning (ICML 2007), Corvallis, June 2007.
[PDF version] [Longer version with proofs]

bullet Efficient Planning of Informative Paths for Multiple Robots;
Amarjeet Singh, Andreas Krause, Carlos Guestrin, William Kaiser, Maxim Batalin;
In the 21st International Joint Conference on Artificial Intelligence (IJCAI 2007), Hyderabad, January 2007.
[PDF version]

bullet Distributed Inference in Dynamical Systems;
Stanislav Funiak, Carlos Guestrin, Mark Paskin, Rahul Sukthankar;
In Advances in Neural Information Processing Systems (NIPS 2006), Vancouver, Canada, December 2006.
[PDF version] [Long version]

bullet Solving Factored MDPs with Hybrid State and Action Variables;
Branislav Kveton, Milos Hauskrecht, and Carlos Guestrin;
in Journal of Artificial Intelligence Research (JAIR), Volume 27, pp. 153-201, October 2006.
[PDF version]

bullet Data Association for Topic Intensity Tracking;
Andreas Krause, Jure Leskovec and Carlos Guestrin;
In the 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, June 2006.
[PDF version]
Longer version: Technical Report CMU-ML-06-100.
[PDF version]
bullet Near-optimal Sensor Placements: Maximizing Information while Minimizing Communication Cost;
Andreas Krause, Carlos Guestrin, Anupam Gupta, Jon Kleinberg;
In the Fifth International Conference on Information Processing in Sensor Networks (IPSN'06), April 2006.
[PDF version with proofsn] Winner of the Best Paper Award.

bullet Data Gathering Tours in Sensor Networks;
Alexandra Meliou, David Chu, Carlos Guestrin, Joseph Hellerstein, Wei Hong;
In the Fifth International Conference on Information Processing in Sensor Networks (IPSN'06), April 2006.
[PDF version]

bullet

Distributed Localization of Networked Cameras;
Stanislav Funiak, Carlos Guestrin, Mark Paskin and Rahul Sukthankar;
In the Fifth International Conference on Information Processing in Sensor Networks (IPSN'06), April 2006.
[PDF version] [movies]

bullet Intelligent Light Control using Sensor Networks;
 Vipul Singhvi, Andreas Krause, Carlos Guestrin, James Garrett and H. Scott Matthews;
In the 3rd ACM Conference on Embedded Networked Sensor Systems (SenSys 2005), San Diego, November 2005.
[PDF version]
bullet Model-based Approximate Querying in Sensor Networks;
Amol Deshpande, Carlos Guestrin, Sam Madden, Joseph Hellerstein, Wei Hong;
To appear in the International Journal on Very Large Data Bases, 2005.
[PDF version]

bullet Near-Optimal Sensor Placements in Gaussian Processes;
Carlos Guestrin, Andreas Krause and Ajit Singh;
In the 22nd International Conference on Machine Learning (ICML 2005), Bonn, August 2005.
[PDF version] Winner of the Best Paper Runner-Up Award.

bullet Learning Structured Prediction Models: A Large Margin Approach;
Ben Taskar, Vassil Chatalbashev, Daphne Koller and Carlos Guestrin;
In the 22nd International Conference on Machine Learning (ICML 2005), Bonn, August 2005.
[PS version]

bullet Near-Optimal Nonmyopic Value of Information in Graphical Models;
Andreas Krause and Carlos Guestrin;
In the 21st Conference on Uncertainty in Artificial Intelligence (UAI 2005), Edinburgh, July 2005.
[PDF version] Winner of the Best Paper Runner-Up Award.

bullet Optimal Nonmyopic Value of Information in Graphical Models ñ
Efficient Algorithms and Theoretical Limits;
Andreas Krause and Carlos Guestrin;
In the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI 2005), Edinburgh, July 2005.
[PDF version]
bullet Concurrent Hierarchical Reinforcement Learning;
Bhaskara Marthi, David Latham, Stuart Russell and Carlos Guestrin;
In the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI 2005), Edinburgh, July 2005.
[PDF version]
bullet A Robust Architecture for Distributed Inference in Sensor Networks;
Mark Paskin, Carlos Guestrin and Jim McFadden;
In the Fourth International Conference on Information Processing in Sensor Networks (IPSN'05), April 2005.
[PDF version] Winner of the Best Paper Award.
First version: A Robust Architecture for Distributed Inference in Sensor Networks;
Mark Paskin and Carlos Guestrin;
In Intel Research Technical Report, IRB-TR-03-039, last updated April 2004.
[PDF version]
bullet Resource-Aware Wireless Sensor-Actuator Networks;
Amol Deshpande, Carlos Guestrin, Sam Madden;
To appear in the IEEE Data Engineering Bulletin, 2005.
[PDF version - Available soon]

bullet Exploiting Correlated Attributes in Acquisitional Query Processing;
Amol Deshpande, Carlos Guestrin, Wei Hong, Sam Madden;
In the 21st International Conference on Data Engineering (ICDE 2005), Tokyo, Japan, April 2005.
[PDF version]
First version: Exploiting Correlated Attributes in Acquisitional Query Processing;
 Amol Deshpande, Carlos Guestrin, Wei Hong, Sam Madden;
In Intel Research Technical Report, IRB-TR-04-008, June, 2004.

bullet Using Probabilistic Models for Data Management in Acquisitional Environments;
Amol Deshpande, Carlos Guestrin, Sam Madden;
In the 2nd Biennial Conference on Innovative Data Systems Research (CIDR 2005), Asilomar, California, January 2005.
[PDF version]
bullet Model-Driven Data Acquisition in Sensor Networks;
Amol Deshpande, Carlos Guestrin, Sam Madden, Joseph Hellerstein, Wei Hong;
In the 30th International Conference on Very Large Data Bases (VLDB 2004), Toronto, Canada, August 2004.
[PDF version] Winner of the Best Paper Award.
bullet Robust Probabilistic Inference in Distributed Systems;
Mark Paskin and Carlos Guestrin;
In the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI 2004), Banff, Canada, July 2004.
[PDF version]
bullet Solving Factored MDPs with Continuous and Discrete Variables;
Carlos Guestrin, Milos Hauskrecht and Branislav Kveton;
In the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI 2004), Banff, Canada, July 2004.
[PDF version]
bullet Distributed Regression: an Efficient Framework for Modeling Sensor Network Data;
Carlos Guestrin, Peter Bodik, Romain Thibaux, Mark Paskin, Samuel Madden;
In Information Processing in Sensor Networks (IPSN 2004), Berkeley, April 2004.
[PDF version]

bullet Max-Margin Markov Networks;
Ben Taskar, Carlos Guestrin, Daphne Koller;
In Advances in Neural Information Processing Systems (NIPS 2003), Vancouver, Canada, December 2003.
[PS version with proofs] Winner of the Best Paper Award.

bullet Planning Under Uncertainty in Complex Structured Environments;
Carlos Guestrin;
Ph.D. Dissertation, Computer Science Department, Stanford University, August 2003.
[PS.GZ version] [PDF version] [Talk slides]

bullet Generalizing Plans to New Environments in Relational MDPs;
Carlos Guestrin, Daphne Koller, Chris Gearhart and Neal Kanodia;
In International Joint Conference on Artificial Intelligence (IJCAI 2003), Acapulco, Mexico, August 2003.
[PS version with proofs] [Videos of Freecraft results and RMDP model details] [Freecraft interface and challenge problems]

bullet Efficient Solution Algorithms for Factored MDPs;
Carlos Guestrin, Daphne Koller, Ronald Parr and Shobha Venkataraman;
In Journal of Artificial Intelligence Research (JAIR), Volume 19, pp. 399-468, 2003.
[PS.GZ version] [PDF version] Winner of the 2007 IJCAI-JAIR Best Paper Prize.

bullet Distributed Planning in Hierarchical Factored MDPs;
Carlos Guestrin and Geoffrey Gordon;
In the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI 2002), 197 - 206, Edmonton, Canada, August 2002.
[PS version]
bullet Context Specific Multiagent Coordination and Planning with Factored MDPs;
Carlos Guestrin, Shobha Venkataraman and Daphne Koller;
In the Eighteenth National Conference on Artificial Intelligence (AAAI 2002), pp. 253 - 259, Edmonton, Canada, July 2002.
[PS.GZ version]

Earlier version of work appeared in: AAAI-2002 Spring Symposium on Collaborative Learning Agents, Stanford, California, March 2002.
[PS version]

bullet Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs;
Carlos Guestrin, Relu Patrascu and Dale Schuurmans;
In the Nineteenth International Conference on Machine Learning (ICML 2002), pp. 235 - 242, Sydney, Australia, July 2002.
[PS version]
bullet Coordinated Reinforcement Learning;
Carlos Guestrin, Michail Lagoudakis and Ronald Parr;
In the Nineteenth International Conference on Machine Learning (ICML 2002), pp. 227 - 234, Sydney, Australia, July 2002.
[PS version]

Earlier version of work appeared in: AAAI-2002 Spring Symposium on Collaborative Learning Agents, Stanford, California, March 2002.
[PS version]

bullet Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion;
M. Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe and Chris Varma;
To appear in the Journal of Computational Biology (JCB), July 2002.
[PS.GZ version]

bullet Stochastic Roadmap Simulation for the Study of Ligand-Protein Interactions;
M. Serkan Apaydin, Carlos Guestrin, Chris Varma, Douglas L. Brutlag and Jean-Claude Latombe;
In the European Conference on Computational Biology (ECCB 2002), Saarbrücken, Germany, October 2002. Appeared as Bioinformatics 18 (Suppl. 2): S18 - S26, 2002.
[PS version]

bullet Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion;
M. Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu and Jean-Claude Latombe;
In the Sixth Annual International Conference on Research in Computational Molecular Biology (RECOMB 2002), pp. 12 - 21, Washington D.C., April 2002.
[PS version] [Project Page]
bullet Multiagent Planning with Factored MDPs;
Carlos Guestrin, Daphne Koller and Ronald Parr;
In Advances in Neural Information Processing Systems (NIPS 2001), pp. 1523 - 1530, Vancouver, Canada, December 2001.
[PS version]
bullet Robust Combination of Local Controllers;
Carlos Guestrin and Dirk Ormoneit;
In the 17th Conference on Uncertainty in Artificial Intelligence (UAI 2001), pp. 178 - 185, Seattle, Washington, August 2001.
[PS version] [Project Demo Page] [HTML version of presentation]
bullet Max-norm Projections for Factored MDPs;
Carlos Guestrin, Daphne Koller and Ronald Parr;
In the International Joint Conference on Artificial Intelligence (IJCAI 2001), vol. 1, pp. 673 - 680, Seattle, Washington, August 2001.
[PS version] [HTML version of presentation]

Earlier version of work appeared in: AAAI Spring Symposium on Game Theoretic and Decision Theoretic Agents, pp. 27-36, Stanford, California, March 2001.
[PS version] [HTML version of presentation]
bullet Solving Factored POMDPs with Linear Value Functions;
Carlos Guestrin, Daphne Koller and Ronald Parr;
In the IJCAI-01 workshop on Planning under Uncertainty and Incomplete Information (workshop PRO-2), pp. 67 - 75, Seattle, Washington, August 2001.
[PS version] [HTML version of presentation]
bullet Outdoor Position Estimation for Planetary Rovers;
Fabio Cozman, Eric Krotkov and Carlos Guestrin;
Autonomous Robots Journal 9 (2):135-150, September 2000.
[PS version of earlier draft]

bullet Fast Software Image Stabilization with Color Registration;
Carlos Guestrin, Fabio Cozman and Eric Krotkov;
IEEE International Conference on Intelligent Robots and Systems (IROS 1998), vol. 1, pp. 19-24, Canada, October 1998.
[PS version]
An earlier version appeared as a Technical Report:
Image Stabilization for Feature Tracking and Generation of Stable Overlays;
TR-CMU-RI-42-97, Carnegie Mellon University, November 1997.

bullet VIPER - Visual Position Estimation for Rovers;
Fabio Cozman, Carlos Guestrin and Eric Krotkov;
Video Proceedings for the IEEE International Conference on Robotics and Automation (ICRA 1998), Belgium, May 1998.

bullet Industrial Applications of Image Mosaicing and Stabilization;
Carlos Guestrin, Fabio Cozman and Marcelo Godoy;
IEEE-KES Knowledge-Based Intelligent Electronic Systems, vol. 2, pp. 174-183, Adelaide, Australia, April 1998.

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