Publications

Home
Group
Research
Publications
Teaching
Bio
Contact Information
Personal

Carlos Guestrin


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

Publications by Topic

bullet Thesis
bullet Sensor networks
bullet Supervised learning
bullet Planning under uncertainty
bullet Computational molecular biology
bullet Robotics and computer vision

See also: Chronologically sorted publication list

Thesis

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]

Sensor Networks

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 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 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 proofs] 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 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:
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 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.

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 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]

Supervised Learning

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 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 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.

Planning under Uncertainty

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 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 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 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 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]

Computational Molecular Biology

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]

Robotics and Computer Vision

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.


horizontal rule

Home | Group | Research | Publications | Teaching | Bio | Contact Information | Personal

Comments, questions and suggestions? Please contact me.