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Carlos Guestrin

 

Topics

bulletThesis
bulletSensor networks
bulletSupervised learning
bulletPlanning under uncertainty
bulletComputational molecular biology
bulletRobotics and computer vision

 

 

Thesis

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

 

Sensor Networks

bulletModel-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, Toronto, Canada, August 2004.   Winner of the Best Paper Award.   
[PDF version
See also: 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.    
[PDF version]
 
bulletRobust Probabilistic Inference in Distributed Systems;  
Mark Paskin and Carlos Guestrin; 
In the Twentieth Conference on Uncertainty in Artificial Intelligence, Banff, Canada, July 2004.   
[PDF version]
 
bulletA 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]
   
bulletDistributed 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 '04), Berkeley, April 2004.   
[PDF version]      
 

 

Supervised Learning

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

 

Planning under Uncertainty

bulletSolving Factored MDPs with Continuous and Discrete Variables;  
Carlos Guestrin, Milos Hauskrecht and Branislav Kveton; 
In the Twentieth Conference on Uncertainty in Artificial Intelligence, Banff, Canada, July 2004.   
[PDF version]
 
bulletGeneralizing Plans to New Environments in Relational MDPs;  
Carlos Guestrin, Daphne Koller, Chris Gearhart and Neal Kanodia; 
In International Joint Conference on Artificial Intelligence (IJCAI-03), Acapulco, Mexico, August 2003.   
[PS version with proofs]    [Videos of Freecraft results and RMDP model details]    [Freecraft interface and challenge problems
   
bulletDistributed Planning in Hierarchical Factored MDPs;  
Carlos Guestrin and Geoffrey Gordon; 
In the Eighteenth Conference on Uncertainty in Artificial Intelligence, 197 - 206, Edmonton, Canada, August 2002.   
[PS version]
   
bulletContext Specific Multiagent Coordination and Planning with Factored MDPs;  
Carlos Guestrin, Shobha Venkataraman and Daphne Koller; 
In AAAI-2002 The Eighteenth National Conference on Artificial Intelligence, 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]
   

bulletAlgorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs;  
Carlos Guestrin, Relu Patrascu and Dale Schuurmans;
In ICML-2002 The Nineteenth International Conference on Machine Learning, pp. 235 - 242, Sydney, Australia, July 2002.   
[PS version]
   
bulletCoordinated Reinforcement Learning;  
Carlos Guestrin, Michail Lagoudakis and Ronald Parr;
In ICML-2002 The Nineteenth International Conference on Machine Learning, 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]
   

bulletEfficient Solution Algorithms for Factored MDPs;  
Carlos Guestrin, Daphne Koller, Ronald Parr and Shobha Venkataraman; 
Accepted in Journal of Artificial Intelligence Research (JAIR), Volume 19, pp. 399-468, 2003.   
[PS.GZ version]    [PDF version]
   
bulletMultiagent Planning with Factored MDPs;  
Carlos Guestrin, Daphne Koller and Ronald Parr; 
In Advances in Neural Information Processing Systems (NIPS-14), pp. 1523 - 1530, Vancouver, Canada, December 2001.   
[PS version]
   
bulletRobust Combination of Local Controllers;  
Carlos Guestrin and Dirk Ormoneit; 
In 17th Conference on Uncertainty in Artificial Intelligence (UAI-01), pp. 178 - 185, Seattle, Washington, August 2001.   
[PS version]    [Project Demo Page]    [HTML version of presentation]
  
bulletMax-norm Projections for Factored MDPs;  
Carlos Guestrin, Daphne Koller and Ronald Parr; 
In International Joint Conference on Artificial Intelligence (IJCAI-01), 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]
      

bulletSolving 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

bulletStochastic 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
   
bulletStochastic 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), Saarbrücken, Germany, October 2002. Appeared as Bioinformatics 18 (Suppl. 2): S18 - S26, 2002.   
[PS version
   
bulletStochastic 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), pp. 12 - 21, Washington D.C., April 2002.   
[PS version] [Project Page]
   

 

Robotics and Computer Vision

bulletOutdoor 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-98, 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.  
  
bulletVIPER - Visual Position Estimation for Rovers;
Fabio Cozman, Carlos Guestrin and Eric Krotkov;
Video Proceedings for the IEEE International Conference on Robotics and Automation (ICRA-98), 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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