Carlos Guestrin

According to our database, Carlos Guestrin authored at least 160 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data.

Liana Patel, Peter Kraft, Carlos Guestrin, Matei Zaharia

CoRR, 2024

2023

Unifying Corroborative and Contributive Attributions in Large Language Models.

Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin

CoRR, 2023

Learning to (Learn at Test Time).

Yu Sun, Xinhao Li, Karan Dalal, Chloe Hsu, Sanmi Koyejo, Carlos Guestrin, Xiaolong Wang, Tatsunori Hashimoto, Xinlei Chen

CoRR, 2023

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback.

Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto

CoRR, 2023

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks.

Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto

CoRR, 2023

Beyond Confidence: Reliable Models Should Also Consider Atypicality.

Mert Yüksekgönül, Linjun Zhang, James Y. Zou, Carlos Guestrin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback.

Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract).

Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning Neural Network Subspaces.

Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

The rise and fall of network stars: Analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time.

Michael Fire, Carlos Guestrin

Inf. Process. Manag., 2020

Set Distribution Networks: a Generative Model for Sets of Images.

Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind

CoRR, 2020

Equivariant Neural Rendering.

Emilien Dupont, Miguel Ángel Bautista, Alex Colburn, Aditya Sankar, Carlos Guestrin, Josh M. Susskind, Qi Shan

CoRR, 2020

AdaScale SGD: A User-Friendly Algorithm for Distributed Training.

Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin

Proceedings of the 37th International Conference on Machine Learning, 2020

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList.

Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

A Hardware-Software Blueprint for Flexible Deep Learning Specialization.

Thierry Moreau, Tianqi Chen, Luis Vega, Jared Roesch, Eddie Q. Yan, Lianmin Zheng, Josh Fromm, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

IEEE Micro, 2019

Adversarial Fisher Vectors for Unsupervised Representation Learning.

Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

4 Systems Perspectives into Human-Centered Machine Learning.

Carlos Guestrin

Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

Raise to Speak: An Accurate, Low-power Detector for Activating Voice Assistants on Smartwatches.

Shiwen Zhao, Brandt Westing, Shawn Scully, Heri Nieto, Roman Holenstein, Minwoo Jeong, Krishna Sridhar, Brandon Newendorp, Mike Bastian, Sethu Raman, Tim Paek, Kevin Lynch, Carlos Guestrin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

4 Perspectives in Human-Centered Machine Learning.

Carlos Guestrin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment.

Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind

Proceedings of the 36th International Conference on Machine Learning, 2019

App Usage Predicts Cognitive Ability in Older Adults.

Mitchell L. Gordon, Leon A. Gatys, Carlos Guestrin, Jeffrey P. Bigham, Andrew Trister, Kayur Patel

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Are Red Roses Red? Evaluating Consistency of Question-Answering Models.

Marco Túlio Ribeiro, Carlos Guestrin, Sameer Singh

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Model-Based Querying in Sensor Networks.

Amol Deshpande, Carlos Guestrin, Samuel Madden

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Over-Optimization of Academic Publishing Metrics: Observing Goodhart's Law in Action.

Michael Fire, Carlos Guestrin

CoRR, 2018

A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems.

Tyler B. Johnson, Carlos Guestrin

CoRR, 2018

VTA: An Open Hardware-Software Stack for Deep Learning.

Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

CoRR, 2018

Compact Factorization of Matrices Using Generalized Round-Rank.

Pouya Pezeshkpour, Carlos Guestrin, Sameer Singh

CoRR, 2018

TVM: End-to-End Optimization Stack for Deep Learning.

Tianqi Chen, Thierry Moreau, Ziheng Jiang, Haichen Shen, Eddie Q. Yan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

CoRR, 2018

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning.

Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Q. Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

Training Deep Models Faster with Robust, Approximate Importance Sampling.

Tyler B. Johnson, Carlos Guestrin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Optimize Tensor Programs.

Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Semantically Equivalent Adversarial Rules for Debugging NLP models.

Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Anchors: High-Precision Model-Agnostic Explanations.

Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

The Rise and Fall of Network Stars.

Michael Fire, Carlos Guestrin

CoRR, 2017

StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent.

Tyler B. Johnson, Carlos Guestrin

Proceedings of the 34th International Conference on Machine Learning, 2017

Scaling Submodular Maximization via Pruned Submodularity Graphs.

Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Model-Agnostic Interpretability of Machine Learning.

Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin

CoRR, 2016

Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance.

Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin

CoRR, 2016

Analyzing Complex Network User Arrival Patterns and Their Effect on Network Topologies.

Michael Fire, Carlos Guestrin

CoRR, 2016

Training Deep Nets with Sublinear Memory Cost.

Tianqi Chen, Bing Xu, Chiyuan Zhang, Carlos Guestrin

CoRR, 2016

Programs as Black-Box Explanations.

Sameer Singh, Marco Túlio Ribeiro, Carlos Guestrin

CoRR, 2016

Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization.

Tyler B. Johnson, Carlos Guestrin

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

"Why Should I Trust You?": Explaining the Predictions of Any Classifier.

Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin

Proceedings of the Demonstrations Session, 2016

XGBoost: A Scalable Tree Boosting System.

Tianqi Chen, Carlos Guestrin

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Information cartography.

Dafna Shahaf, Carlos Guestrin, Eric Horvitz, Jure Leskovec

Commun. ACM, 2015

The Wisdom of Multiple Guesses.

Johan Ugander, Ryan Drapeau, Carlos Guestrin

Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization.

Tyler B. Johnson, Carlos Guestrin

Proceedings of the 32nd International Conference on Machine Learning, 2015

Efficient Second-Order Gradient Boosting for Conditional Random Fields.

Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

The Swarm at the Edge of the Cloud.

Edward A. Lee, Björn Hartmann, John Kubiatowicz, Tajana Simunic Rosing, John Wawrzynek, David Wessel, Jan M. Rabaey, Kris Pister, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, David T. Blaauw, Prabal Dutta, Kevin Fu, Carlos Guestrin, Ben Taskar, Roozbeh Jafari, Douglas L. Jones, Vijay Kumar, Rahul Mangharam, George J. Pappas, Richard M. Murray, Anthony Rowe

IEEE Des. Test, 2014

GraphChi-DB: Simple Design for a Scalable Graph Database System - on Just a PC.

Aapo Kyrola, Carlos Guestrin

CoRR, 2014

Personalized collaborative clustering.

Yisong Yue, Chong Wang, Khalid El-Arini, Carlos Guestrin

Proceedings of the 23rd International World Wide Web Conference, 2014

Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014.

Ignacio Cano, Sameer Singh, Carlos Guestrin

Proceedings of The Twenty-Third Text REtrieval Conference, 2014

Divide-and-Conquer Learning by Anchoring a Conical Hull.

Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Reducing Data Loading Bottleneck with Coarse Feature Vectors for Large Scale Learning.

Shingo Takamatsu, Carlos Guestrin

Proceedings of the 3rd International Workshop on Big Data, 2014

Stochastic Gradient Hamiltonian Monte Carlo.

Tianqi Chen, Emily B. Fox, Carlos Guestrin

Proceedings of the 31th International Conference on Machine Learning, 2014

GraphGen: An FPGA Framework for Vertex-Centric Graph Computation.

Eriko Nurvitadhi, Gabriel Weisz, Yu Wang, Skand Hurkat, Marie Nguyen, James C. Hoe, José F. Martínez, Carlos Guestrin

Proceedings of the 22nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2014

Learning Everything about Anything: Webly-Supervised Visual Concept Learning.

Santosh Kumar Divvala, Ali Farhadi, Carlos Guestrin

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

"Metro maps of information" by Dafna Shahaf, Carlos Guestrin and Eric Horvitz, with Ching-man Au Yeung as coordinator.

Dafna Shahaf, Carlos Guestrin, Eric Horvitz

SIGWEB Newsl., 2013

Representing documents through their readers.

Khalid El-Arini, Min Xu, Emily B. Fox, Carlos Guestrin

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Usability in machine learning at scale with graphlab.

Carlos Guestrin

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Connecting Two (or Less) Dots: Discovering Structure in News Articles.

Dafna Shahaf, Carlos Guestrin

ACM Trans. Knowl. Discov. Data, 2012

Distributed GraphLab: A Framework for Machine Learning in the Cloud.

Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein

Proc. VLDB Endow., 2012

Sample Complexity of Composite Likelihood.

Joseph K. Bradley, Carlos Guestrin

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Riffled Independence for Efficient Inference with Partial Rankings.

Jonathan Huang, Ashish Kapoor, Carlos Guestrin

J. Artif. Intell. Res., 2012

Concept Modeling with Superwords

Khalid El-Arini, Emily B. Fox, Carlos Guestrin

CoRR, 2012

Trains of thought: generating information maps.

Dafna Shahaf, Carlos Guestrin, Eric Horvitz

Proceedings of the 21st World Wide Web Conference 2012, 2012

GraphChi: Large-Scale Graph Computation on Just a PC.

Aapo Kyrola, Guy E. Blelloch, Carlos Guestrin

Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation, 2012

PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs.

Joseph E. Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin

Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation, 2012

Metro maps of science.

Dafna Shahaf, Carlos Guestrin, Eric Horvitz

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Hierarchical Exploration for Accelerating Contextual Bandits.

Yisong Yue, Sue Ann Hong, Carlos Guestrin

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Robust sensor placements at informative and communication-efficient locations.

Andreas Krause, Carlos Guestrin, Anupam Gupta, Jon M. Kleinberg

ACM Trans. Sens. Networks, 2011

Submodularity and its applications in optimized information gathering.

Andreas Krause, Carlos Guestrin

ACM Trans. Intell. Syst. Technol., 2011

Simultaneous Optimization of Sensor Placements and Balanced Schedules.

Andreas Krause, Ram Rajagopal, Anupam Gupta, Carlos Guestrin

IEEE Trans. Autom. Control., 2011

Kernel Belief Propagation.

Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees.

Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

GraphLab: A Distributed Framework for Machine Learning in the Cloud

Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin

CoRR, 2011

Efficient Probabilistic Inference with Partial Ranking Queries.

Jonathan Huang, Ashish Kapoor, Carlos Guestrin

Proceedings of the UAI 2011, 2011

Linear Submodular Bandits and their Application to Diversified Retrieval.

Yisong Yue, Carlos Guestrin

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Beyond keyword search: discovering relevant scientific literature.

Khalid El-Arini, Carlos Guestrin

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Parallel Coordinate Descent for L1-Regularized Loss Minimization.

Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Nonparametric Tree Graphical Models.

Le Song, Arthur Gretton, Carlos Guestrin

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Focused Belief Propagation for Query-Specific Inference.

Anton Chechetka, Carlos Guestrin

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Linear Characteristic Graphical Models: Representation, Inference and Applications

Danny Bickson, Carlos Guestrin

CoRR, 2010

Uncovering the Riffled Independence Structure of Rankings

Jonathan Huang, Carlos Guestrin

CoRR, 2010

AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead.

Eric Horvitz, Lise Getoor, Carlos Guestrin, James A. Hendler, Joseph A. Konstan, Devika Subramanian, Michael P. Wellman, Henry A. Kautz

AI Mag., 2010

GraphLab: A New Framework For Parallel Machine Learning.

Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein

Proceedings of the UAI 2010, 2010

Evidence-Specific Structures for Rich Tractable CRFs.

Anton Chechetka, Carlos Guestrin

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Inference with Multivariate Heavy-Tails in Linear Models.

Danny Bickson, Carlos Guestrin

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Connecting the dots between news articles.

Dafna Shahaf, Carlos Guestrin

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Learning Hierarchical Riffle Independent Groupings from Rankings.

Jonathan Huang, Carlos Guestrin

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Learning Tree Conditional Random Fields.

Joseph K. Bradley, Carlos Guestrin

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Multiresolution Cube Estimators for Sensor Network Aggregate Queries.

Alexandra Meliou, Carlos Guestrin, Joseph M. Hellerstein

Proceedings of the 4th Alberto Mendelzon International Workshop on Foundations of Data Management, 2010

2009

Model-based Querying in Sensor Networks.

Amol Deshpande, Carlos Guestrin, Samuel Madden

Proceedings of the Encyclopedia of Database Systems, 2009

Learning Thin Junction Trees via Graph Cuts.

Dafna Shahaf, Carlos Guestrin

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Exploiting Probabilistic Independence for Permutations.

Jonathan Huang, Carlos Guestrin, Xiaoye Jiang, Leonidas J. Guibas

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Fourier Theoretic Probabilistic Inference over Permutations.

Jonathan Huang, Carlos Guestrin, Leonidas J. Guibas

J. Mach. Learn. Res., 2009

Residual Splash for Optimally Parallelizing Belief Propagation.

Joseph Gonzalez, Yucheng Low, Carlos Guestrin

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Efficient Informative Sensing using Multiple Robots.

Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser

J. Artif. Intell. Res., 2009

Optimal Value of Information in Graphical Models.

Andreas Krause, Carlos Guestrin

J. Artif. Intell. Res., 2009

Optimizing Sensing: From Water to the Web.

Andreas Krause, Carlos Guestrin

Computer, 2009

Distributed Parallel Inference on Large Factor Graphs.

Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron

Proceedings of the UAI 2009, 2009

Riffled Independence for Ranked Data.

Jonathan Huang, Carlos Guestrin

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

How optimized environmental sensing helps address information overload on the web.

Carlos Guestrin

Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

Turning down the noise in the blogosphere.

Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos Guestrin

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Approximating sensor network queries using in-network summaries.

Alexandra Meliou, Carlos Guestrin, Joseph M. Hellerstein

Proceedings of the 8th International Conference on Information Processing in Sensor Networks, 2009

Simultaneous placement and scheduling of sensors.

Andreas Krause, Ram Rajagopal, Anupam Gupta, Carlos Guestrin

Proceedings of the 8th International Conference on Information Processing in Sensor Networks, 2009

2008

Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies.

Andreas Krause, Ajit Paul Singh, Carlos Guestrin

J. Mach. Learn. Res., 2008

2007

Robust, low-cost, non-intrusive sensing and recognition of seated postures.

Bilge Mutlu, Andreas Krause, Jodi Forlizzi, Carlos Guestrin, Jessica K. Hodgins

Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology, 2007

Selecting Observations against Adversarial Objectives.

Andreas Krause, H. Brendan McMahan, Carlos Guestrin, Anupam Gupta

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Efficient Inference for Distributions on Permutations.

Jonathan Huang, Carlos Guestrin, Leonidas J. Guibas

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Efficient Principled Learning of Thin Junction Trees.

Anton Chechetka, Carlos Guestrin

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Cost-effective outbreak detection in networks.

Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne M. VanBriesen, Natalie S. Glance

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Information Survival Threshold in Sensor and P2P Networks.

Deepayan Chakrabarti, Jure Leskovec, Christos Faloutsos, Samuel Madden, Carlos Guestrin, Michalis Faloutsos

Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Efficient Planning of Informative Paths for Multiple Robots.

Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser, Maxim A. Batalin

Proceedings of the IJCAI 2007, 2007

Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach.

Andreas Krause, Carlos Guestrin

Proceedings of the Machine Learning, 2007

Nonmyopic Informative Path Planning in Spatio-Temporal Models.

Alexandra Meliou, Andreas Krause, Carlos Guestrin, Joseph M. Hellerstein

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Near-optimal Observation Selection using Submodular Functions.

Andreas Krause, Carlos Guestrin

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Solving Factored MDPs with Hybrid State and Action Variables.

Branislav Kveton, Milos Hauskrecht, Carlos Guestrin

J. Artif. Intell. Res., 2006

Distributed Inference in Dynamical Systems.

Stanislav Funiak, Carlos Guestrin, Mark A. Paskin, Rahul Sukthankar

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Data gathering tours in sensor networks.

Alexandra Meliou, David Chu, Joseph M. Hellerstein, Carlos Guestrin, Wei Hong

Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

Near-optimal sensor placements: maximizing information while minimizing communication cost.

Andreas Krause, Carlos Guestrin, Anupam Gupta, Jon M. Kleinberg

Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

Distributed localization of networked cameras.

Stanislav Funiak, Carlos Guestrin, Mark A. Paskin, Rahul Sukthankar

Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

Data association for topic intensity tracking.

Andreas Krause, Jure Leskovec, Carlos Guestrin

Proceedings of the Machine Learning, 2006

2005

Model-based approximate querying in sensor networks.

Amol Deshpande, Carlos Guestrin, Samuel Madden, Joseph M. Hellerstein, Wei Hong

VLDB J., 2005

Modeling Link Qualities in a Sensor Network.

Jure Leskovec, Purnamrita Sarkar, Carlos Guestrin

Informatica (Slovenia), 2005

Resource-Aware Wireless Sensor-Actuator Networks.

Amol Deshpande, Carlos Guestrin, Samuel Madden

IEEE Data Eng. Bull., 2005

Near-optimal Nonmyopic Value of Information in Graphical Models.

Andreas Krause, Carlos Guestrin

Proceedings of the UAI '05, 2005

Intelligent light control using sensor networks.

Vipul Singhvi, Andreas Krause, Carlos Guestrin, James H. Garrett Jr., H. Scott Matthews

Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems, 2005

Claytronics: highly scalable communications, sensing, and actuation networks.

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

Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems, 2005

A robust architecture for distributed inference in sensor networks.

Mark A. Paskin, Carlos Guestrin, Jim McFadden

Proceedings of the Fourth International Symposium on Information Processing in Sensor Networks, 2005

Concurrent Hierarchical Reinforcement Learning.

Bhaskara Marthi, Stuart Russell, David Latham, Carlos Guestrin

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Optimal Nonmyopic Value of Information in Graphical Models - Efficient Algorithms and Theoretical Limits.

Andreas Krause, Carlos Guestrin

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning structured prediction models: a large margin approach.

Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin

Proceedings of the Machine Learning, 2005

Near-optimal sensor placements in Gaussian processes.

Carlos Guestrin, Andreas Krause, Ajit Paul Singh

Proceedings of the Machine Learning, 2005

Exploiting Correlated Attributes in Acquisitional Query Processing.

Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel Madden

Proceedings of the 21st International Conference on Data Engineering, 2005

Using Probabilistic Models for Data Management in Acquisitional Environments.

Amol Deshpande, Carlos Guestrin, Samuel Madden

Proceedings of the Second Biennial Conference on Innovative Data Systems Research, 2005

2004

Model-Driven Data Acquisition in Sensor Networks.

Amol Deshpande, Carlos Guestrin, Samuel Madden, Joseph M. Hellerstein, Wei Hong

Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Robust Probabilistic Inference in Distributed Systems.

Mark A. Paskin, Carlos Guestrin

Proceedings of the UAI '04, 2004

Solving Factored MDPs with Continuous and Discrete Variables.

Carlos Guestrin, Milos Hauskrecht, Branislav Kveton

Proceedings of the UAI '04, 2004

Distributed regression: an efficient framework for modeling sensor network data.

Carlos Guestrin, Peter Bodík, Romain Thibaux, Mark A. Paskin, Samuel Madden

Proceedings of the Third International Symposium on Information Processing in Sensor Networks, 2004

2003

Planning under uncertainty in complex structured environments.

Carlos Guestrin

PhD thesis, 2003

Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion.

Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe, Chris Varma

J. Comput. Biol., 2003

Efficient Solution Algorithms for Factored MDPs.

Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman

J. Artif. Intell. Res., 2003

Max-Margin Markov Networks.

Benjamin Taskar, Carlos Guestrin, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Generalizing Plans to New Environments in Relational MDPs.

Carlos Guestrin, Daphne Koller, Chris Gearhart, Neal Kanodia

Proceedings of the IJCAI-03, 2003

2002

Stochastic Conformational Roadmaps for Computing Ensemble Properties of Molecular Motion.

Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe

Proceedings of the Algorithmic Foundations of Robotics V, 2002

Distributed Planning in Hierarchical Factored MDPs.

Carlos Guestrin, Geoffrey J. Gordon

Proceedings of the UAI '02, 2002

Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion.

Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe

Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs.

Carlos Guestrin, Relu Patrascu, Dale Schuurmans

Proceedings of the Machine Learning, 2002

Coordinated Reinforcement Learning.

Carlos Guestrin, Michail G. Lagoudakis, Ronald Parr

Proceedings of the Machine Learning, 2002

Using robotics to fold proteins and dock ligands.

Douglas L. Brutlag, Mehmet Serkan Apaydin, Carlos Guestrin, David Hsu, Chris Varma, Amit Pal Singh, Jean-Claude Latombe

Proceedings of the European Conference on Computational Biology (ECCB 2002), 2002

Stochastic roadmap simulation for the study of ligand-protein interactions.

Mehmet Serkan Apaydin, Carlos Guestrin, Chris Varma, Douglas L. Brutlag, Jean-Claude Latombe

Proceedings of the European Conference on Computational Biology (ECCB 2002), 2002

Greedy Linear Value-Approximation for Factored Markov Decision Processes.

Relu Patrascu, Pascal Poupart, Dale Schuurmans, Craig Boutilier, Carlos Guestrin

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

Context-Specific Multiagent Coordination and Planning with Factored MDPs.

Carlos Guestrin, Shobha Venkataraman, Daphne Koller

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001

Robust Combination of Local Controllers.

Carlos Guestrin, Dirk Ormoneit

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Multiagent Planning with Factored MDPs.

Carlos Guestrin, Daphne Koller, Ronald Parr

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Max-norm Projections for Factored MDPs.

Carlos Guestrin, Daphne Koller, Ronald Parr

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

Outdoor Visual Position Estimation for Planetary Rovers.

Fábio Gagliardi Cozman, Eric Krotkov, Carlos Guestrin

Auton. Robots, 2000

1998

Industrial applications of image mosaicing and stabilization.

Carlos Guestrin, Fábio Gagliardi Cozman, Marcelo Godoy Simões

Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

Fast software image stabilization with color registration.

Carlos Guestrin, Fábio Gagliardi Cozman, Eric Krotkov

Proceedings of the Proceedings 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, 1998