Carlos Guestrin

Carlos Guestrin, Geoffrey J. Gordon: Distributed Planning in Hierarchical Factored MDPs. CoRR abs/1301.0571 (2013)

Carlos Guestrin, Dirk Ormoneit: Robust Combination of Local Controllers. CoRR abs/1301.2273 (2013)

Jonathan Huang, Ashish Kapoor, Carlos Guestrin: Riffled Independence for Efficient Inference with Partial Rankings. J. Artif. Intell. Res. (JAIR) 44: 491-532 (2012)

Joseph K. Bradley, Carlos Guestrin: Sample Complexity of Composite Likelihood. Journal of Machine Learning Research - Proceedings Track 22: 136-160 (2012)

Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein: Distributed GraphLab: A Framework for Machine Learning in the Cloud. PVLDB 5(8): 716-727 (2012)

Dafna Shahaf, Carlos Guestrin: Connecting Two (or Less) Dots: Discovering Structure in News Articles. TKDD 5(4): 24 (2012)

Yisong Yue, Sue Ann Hong, Carlos Guestrin: Hierarchical Exploration for Accelerating Contextual Bandits. ICML 2012

Dafna Shahaf, Carlos Guestrin, Eric Horvitz: Metro maps of science. KDD 2012: 1122-1130

Dafna Shahaf, Carlos Guestrin, Eric Horvitz: Trains of thought: generating information maps. WWW 2012: 899-908

Jonathan Huang, Ashish Kapoor, Carlos Guestrin: Efficient Probabilistic Inference with Partial Ranking Queries. CoRR abs/1202.3734 (2012)

Khalid El-Arini, Emily B. Fox, Carlos Guestrin: Concept Modeling with Superwords. CoRR abs/1204.2523 (2012)

Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein: Distributed GraphLab: A Framework for Machine Learning in the Cloud. CoRR abs/1204.6078 (2012)

Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron: Distributed Parallel Inference on Large Factor Graphs. CoRR abs/1205.2645 (2012)

Andreas Krause, Carlos Guestrin: Near-optimal Nonmyopic Value of Information in Graphical Models. CoRR abs/1207.1394 (2012)

Carlos Guestrin, Milos Hauskrecht, Branislav Kveton: Solving Factored MDPs with Continuous and Discrete Variables. CoRR abs/1207.4150 (2012)

Mark A. Paskin, Carlos Guestrin: Robust Probabilistic Inference in Distributed Systems. CoRR abs/1207.4174 (2012)

Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin: Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees. Journal of Machine Learning Research - Proceedings Track 15: 324-332 (2011)

Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin: Kernel Belief Propagation. Journal of Machine Learning Research - Proceedings Track 15: 707-715 (2011)

Andreas Krause, Ram Rajagopal, Anupam Gupta, Carlos Guestrin: Simultaneous Optimization of Sensor Placements and Balanced Schedules. IEEE Trans. Automat. Contr. 56(10): 2390-2405 (2011)

Andreas Krause, Carlos Guestrin: Submodularity and its applications in optimized information gathering. ACM TIST 2(4): 32 (2011)

Andreas Krause, Carlos Guestrin, Anupam Gupta, Jon M. Kleinberg: Robust sensor placements at informative and communication-efficient locations. TOSN 7(4): 31 (2011)

Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin: Parallel Coordinate Descent for L1-Regularized Loss Minimization. ICML 2011: 321-328

Dafna Shahaf, Carlos Guestrin: Connecting the Dots between News Articles. IJCAI 2011: 2734-2739

Khalid El-Arini, Carlos Guestrin: Beyond keyword search: discovering relevant scientific literature. KDD 2011: 439-447

Yisong Yue, Carlos Guestrin: Linear Submodular Bandits and their Application to Diversified Retrieval. NIPS 2011: 2483-2491

Jonathan Huang, Ashish Kapoor, Carlos Guestrin: Efficient Probabilistic Inference with Partial Ranking Queries. UAI 2011: 355-362

Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin: Parallel Coordinate Descent for L1-Regularized Loss Minimization. CoRR abs/1105.5379 (2011)

Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin: Kernel Belief Propagation. CoRR abs/1105.5592 (2011)

Carlos Guestrin, Daphne Koller, Ronald Parr, S. Venkataraman: Efficient Solution Algorithms for Factored MDPs. CoRR abs/1106.1822 (2011)

Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin: GraphLab: A Distributed Framework for Machine Learning in the Cloud. CoRR abs/1107.0922 (2011)

Carlos Guestrin, Milos Hauskrecht, Branislav Kveton: Solving Factored MDPs with Hybrid State and Action Variables. CoRR abs/1110.0028 (2011)

Eric Horvitz, Lise Getoor, Carlos Guestrin, James A. Hendler, Joseph A. Konstan, Devika Subramanian, Michael P. Wellman, Henry A. Kautz: AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead. AI Magazine 31(3): 103-114 (2010)

Anton Chechetka, Carlos Guestrin: Focused Belief Propagation for Query-Specific Inference. Journal of Machine Learning Research - Proceedings Track 9: 89-96 (2010)

Le Song, Arthur Gretton, Carlos Guestrin: Nonparametric Tree Graphical Models. Journal of Machine Learning Research - Proceedings Track 9: 765-772 (2010)

Alexandra Meliou, Carlos Guestrin, Joseph M. Hellerstein: Multiresolution Cube Estimators for Sensor Network Aggregate Queries. AMW 2010

Joseph K. Bradley, Carlos Guestrin: Learning Tree Conditional Random Fields. ICML 2010: 127-134

Jonathan Huang, Carlos Guestrin: Learning Hierarchical Riffle Independent Groupings from Rankings. ICML 2010: 455-462

Dafna Shahaf, Carlos Guestrin: Connecting the dots between news articles. KDD 2010: 623-632

Danny Bickson, Carlos Guestrin: Inference with Multivariate Heavy-Tails in Linear Models. NIPS 2010: 208-216

Anton Chechetka, Carlos Guestrin: Evidence-Specific Structures for Rich Tractable CRFs. NIPS 2010: 352-360

Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein: GraphLab: A New Framework For Parallel Machine Learning. UAI 2010: 340-349

Jonathan Huang, Carlos Guestrin: Uncovering the Riffled Independence Structure of Rankings. CoRR abs/1006.1328 (2010)

Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein: GraphLab: A New Framework for Parallel Machine Learning. CoRR abs/1006.4990 (2010)

Alexandra Meliou, Carlos Guestrin, Joseph M. Hellerstein: Multiresolution Cube Estimators for Sensor Network Aggregate Queries. CoRR abs/1007.3781 (2010)

Danny Bickson, Carlos Guestrin: Linear Characteristic Graphical Models: Representation, Inference and Applications. CoRR abs/1008.5325 (2010)

Andreas Krause, Carlos Guestrin: Optimizing Sensing: From Water to the Web. IEEE Computer 42(8): 38-45 (2009)

Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser: Efficient Informative Sensing using Multiple Robots. J. Artif. Intell. Res. (JAIR) 34: 707-755 (2009)

Andreas Krause, Carlos Guestrin: Optimal Value of Information in Graphical Models. J. Artif. Intell. Res. (JAIR) 35: 557-591 (2009)

Dafna Shahaf, Carlos Guestrin: Learning Thin Junction Trees via Graph Cuts. Journal of Machine Learning Research - Proceedings Track 5: 113-120 (2009)

Joseph Gonzalez, Yucheng Low, Carlos Guestrin: Residual Splash for Optimally Parallelizing Belief Propagation. Journal of Machine Learning Research - Proceedings Track 5: 177-184 (2009)

Jonathan Huang, Carlos Guestrin, Xiaoye Jiang, Leonidas J. Guibas: Exploiting Probabilistic Independence for Permutations. Journal of Machine Learning Research - Proceedings Track 5: 248-255 (2009)

Jonathan Huang, Carlos Guestrin, Leonidas J. Guibas: Fourier Theoretic Probabilistic Inference over Permutations. Journal of Machine Learning Research 10: 997-1070 (2009)

Andreas Krause, Ram Rajagopal, Anupam Gupta, Carlos Guestrin: Simultaneous placement and scheduling of sensors. IPSN 2009: 181-192

Alexandra Meliou, Carlos Guestrin, Joseph M. Hellerstein: Approximating sensor network queries using in-network summaries. IPSN 2009: 229-240

Carlos Guestrin: How optimized environmental sensing helps address information overload on the web. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 11

Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos Guestrin: Turning down the noise in the blogosphere. KDD 2009: 289-298

Jonathan Huang, Carlos Guestrin: Riffled Independence for Ranked Data. NIPS 2009: 799-807

Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron: Distributed Parallel Inference on Large Factor Graphs. UAI 2009: 203-212

Amol Deshpande, Carlos Guestrin, Samuel Madden: Model-based Querying in Sensor Networks. Encyclopedia of Database Systems 2009: 1764-1768

Andreas Krause, Ajit Paul Singh, Carlos Guestrin: Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies. Journal of Machine Learning Research 9: 235-284 (2008)

Alexandra Meliou, Andreas Krause, Carlos Guestrin, Joseph M. Hellerstein: Nonmyopic Informative Path Planning in Spatio-Temporal Models. AAAI 2007: 602-607

Andreas Krause, Carlos Guestrin: Near-optimal Observation Selection using Submodular Functions. AAAI 2007: 1650-1654

Andreas Krause, Carlos Guestrin: Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach. ICML 2007: 449-456

Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser, Maxim A. Batalin: Efficient Planning of Informative Paths for Multiple Robots. IJCAI 2007: 2204-2211

Deepayan Chakrabarti, Jure Leskovec, Christos Faloutsos, Samuel Madden, Carlos Guestrin, Michalis Faloutsos: Information Survival Threshold in Sensor and P2P Networks. INFOCOM 2007: 1316-1324

Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne M. VanBriesen, Natalie S. Glance: Cost-effective outbreak detection in networks. KDD 2007: 420-429

Anton Chechetka, Carlos Guestrin: Efficient Principled Learning of Thin Junction Trees. NIPS 2007

Jonathan Huang, Carlos Guestrin, Leonidas J. Guibas: Efficient Inference for Distributions on Permutations. NIPS 2007

Andreas Krause, H. Brendan McMahan, Carlos Guestrin, Anupam Gupta: Selecting Observations against Adversarial Objectives. NIPS 2007

Bilge Mutlu, Andreas Krause, Jodi Forlizzi, Carlos Guestrin, Jessica K. Hodgins: Robust, low-cost, non-intrusive sensing and recognition of seated postures. UIST 2007: 149-158

Branislav Kveton, Milos Hauskrecht, Carlos Guestrin: Solving Factored MDPs with Hybrid State and Action Variables. J. Artif. Intell. Res. (JAIR) 27: 153-201 (2006)

Andreas Krause, Jure Leskovec, Carlos Guestrin: Data association for topic intensity tracking. ICML 2006: 497-504

Andreas Krause, Carlos Guestrin, Anupam Gupta, Jon M. Kleinberg: Near-optimal sensor placements: maximizing information while minimizing communication cost. IPSN 2006: 2-10

Stanislav Funiak, Carlos Guestrin, Mark A. Paskin, Rahul Sukthankar: Distributed localization of networked cameras. IPSN 2006: 34-42

Alexandra Meliou, David Chu, Joseph M. Hellerstein, Carlos Guestrin, Wei Hong: Data gathering tours in sensor networks. IPSN 2006: 43-50

Stanislav Funiak, Carlos Guestrin, Mark A. Paskin, Rahul Sukthankar: Distributed Inference in Dynamical Systems. NIPS 2006: 433-440

Amol Deshpande, Carlos Guestrin, Samuel Madden: Resource-Aware Wireless Sensor-Actuator Networks. IEEE Data Eng. Bull. 28(1): 40-47 (2005)

Jure Leskovec, Purnamrita Sarkar, Carlos Guestrin: Modeling Link Qualities in a Sensor Network. Informatica (Slovenia) 29(4): 445-452 (2005)

Amol Deshpande, Carlos Guestrin, Samuel Madden, Joseph M. Hellerstein, Wei Hong: Model-based approximate querying in sensor networks. VLDB J. 14(4): 417-443 (2005)

Amol Deshpande, Carlos Guestrin, Samuel Madden: Using Probabilistic Models for Data Management in Acquisitional Environments. CIDR 2005: 317-328

Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel Madden: Exploiting Correlated Attributes in Acquisitional Query Processing. ICDE 2005: 143-154

Carlos Guestrin, Andreas Krause, Ajit Paul Singh: Near-optimal sensor placements in Gaussian processes. ICML 2005: 265-272

Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin: Learning structured prediction models: a large margin approach. ICML 2005: 896-903

Bhaskara Marthi, Stuart J. Russell, David Latham, Carlos Guestrin: Concurrent Hierarchical Reinforcement Learning. IJCAI 2005: 779-785

Andreas Krause, Carlos Guestrin: Optimal Nonmyopic Value of Information in Graphical Models - Efficient Algorithms and Theoretical Limits. IJCAI 2005: 1339-1345

Mark A. Paskin, Carlos Guestrin, Jim McFadden: A robust architecture for distributed inference in sensor networks. IPSN 2005: 55-62

Vipul Singhvi, Andreas Krause, Carlos Guestrin, James H. Garrett Jr., H. Scott Matthews: Intelligent light control using sensor networks. SenSys 2005: 218-229

Burak Aksak, Preethi Srinivas Bhat, Jason Campbell, Michael DeRosa, Stanislav Funiak, Phillip B. Gibbons, Seth Copen Goldstein, Carlos Guestrin, Ashish Gupta, Casey Helfrich, James F. Hoburg, Brian T. Kirby, James Kuffner, Peter Lee, Todd C. Mowry, Padmanabhan Pillai, Ram Ravichandran, Benjamin D. Rister, Srinivasan Seshan, Metin Sitti, Haifeng Yu: Claytronics: highly scalable communications, sensing, and actuation networks. SenSys 2005: 299

Andreas Krause, Carlos Guestrin: Near-optimal Nonmyopic Value of Information in Graphical Models. UAI 2005: 324-331

Carlos Guestrin, Peter Bodík, Romain Thibaux, Mark A. Paskin, Samuel Madden: Distributed regression: an efficient framework for modeling sensor network data. IPSN 2004: 1-10

Carlos Guestrin, Milos Hauskrecht, Branislav Kveton: Solving Factored MDPs with Continuous and Discrete Variables. UAI 2004: 235-242

Mark A. Paskin, Carlos Guestrin: Robust Probabilistic Inference in Distributed Systems. UAI 2004: 436-445

Amol Deshpande, Carlos Guestrin, Samuel Madden, Joseph M. Hellerstein, Wei Hong: Model-Driven Data Acquisition in Sensor Networks. VLDB 2004: 588-599

Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman: Efficient Solution Algorithms for Factored MDPs. J. Artif. Intell. Res. (JAIR) 19: 399-468 (2003)

Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe, Chris Varma: Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion. Journal of Computational Biology 10(3/4): 257-281 (2003)

Carlos Guestrin, Daphne Koller, Chris Gearhart, Neal Kanodia: Generalizing Plans to New Environments in Relational MDPs. IJCAI 2003: 1003-1010

Benjamin Taskar, Carlos Guestrin, Daphne Koller: Max-Margin Markov Networks. NIPS 2003

Carlos Guestrin, Shobha Venkataraman, Daphne Koller: Context-Specific Multiagent Coordination and Planning with Factored MDPs. AAAI/IAAI 2002: 253-259

Relu Patrascu, Pascal Poupart, Dale Schuurmans, Craig Boutilier, Carlos Guestrin: Greedy Linear Value-Approximation for Factored Markov Decision Processes. AAAI/IAAI 2002: 285-291

Mehmet Serkan Apaydin, Carlos Guestrin, Chris Varma, Douglas L. Brutlag, Jean-Claude Latombe: Stochastic roadmap simulation for the study of ligand-protein interactions. ECCB 2002: 18-26

Douglas L. Brutlag, Mehmet Serkan Apaydin, Carlos Guestrin, David Hsu, Chris Varma, Amit Pal Singh, Jean-Claude Latombe: Using robotics to fold proteins and dock ligands. ECCB 2002: 74-74

Carlos Guestrin, Michail G. Lagoudakis, Ronald Parr: Coordinated Reinforcement Learning. ICML 2002: 227-234

Carlos Guestrin, Relu Patrascu, Dale Schuurmans: Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs. ICML 2002: 235-242

Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe: Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion. RECOMB 2002: 12-21

Carlos Guestrin, Geoffrey J. Gordon: Distributed Planning in Hierarchical Factored MDPs. UAI 2002: 197-206

Carlos Guestrin, Daphne Koller, Ronald Parr: Max-norm Projections for Factored MDPs. IJCAI 2001: 673-682

Carlos Guestrin, Daphne Koller, Ronald Parr: Multiagent Planning with Factored MDPs. NIPS 2001: 1523-1530

Carlos Guestrin, Dirk Ormoneit: Robust Combination of Local Controllers. UAI 2001: 178-185

Fabio Gagliardi Cozman, Eric Krotkov, Carlos Guestrin: Outdoor Visual Position Estimation for Planetary Rovers. Auton. Robots 9(2): 135-150 (2000)

Carlos Guestrin, Fabio Gagliardi Cozman, Marcelo Godoy Simões: Industrial applications of image mosaicing and stabilization. KES (2) 1998: 174-183