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Carlos Guestrin
Person information

- affiliation: University of Washington, Seattle, WA, USA
- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2023
- [i48]Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto:
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. CoRR abs/2302.05733 (2023) - 2021
- [c110]Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari:
Learning Neural Network Subspaces. ICML 2021: 11217-11227 - [c109]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract). IJCAI 2021: 4824-4828 - [i47]Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari:
Learning Neural Network Subspaces. CoRR abs/2102.10472 (2021) - 2020
- [j24]Michael Fire
, Carlos Guestrin:
The rise and fall of network stars: Analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time. Inf. Process. Manag. 57(2): 102041 (2020) - [c108]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. ACL 2020: 4902-4912 - [c107]Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin:
AdaScale SGD: A User-Friendly Algorithm for Distributed Training. ICML 2020: 4911-4920 - [i46]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP models with CheckList. CoRR abs/2005.04118 (2020) - [i45]Emilien Dupont, Miguel Ángel Bautista, Alex Colburn
, Aditya Sankar, Carlos Guestrin, Josh M. Susskind, Qi Shan:
Equivariant Neural Rendering. CoRR abs/2006.07630 (2020) - [i44]Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind:
Set Distribution Networks: a Generative Model for Sets of Images. CoRR abs/2006.10705 (2020) - [i43]Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin:
AdaScale SGD: A User-Friendly Algorithm for Distributed Training. CoRR abs/2007.05105 (2020)
2010 – 2019
- 2019
- [j23]Thierry Moreau, Tianqi Chen, Luis Vega, Jared Roesch, Eddie Q. Yan, Lianmin Zheng, Josh Fromm, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
A Hardware-Software Blueprint for Flexible Deep Learning Specialization. IEEE Micro 39(5): 8-16 (2019) - [c106]Marco Túlio Ribeiro, Carlos Guestrin, Sameer Singh:
Are Red Roses Red? Evaluating Consistency of Question-Answering Models. ACL (1) 2019: 6174-6184 - [c105]Mitchell L. Gordon, Leon A. Gatys, Carlos Guestrin, Jeffrey P. Bigham, Andrew Trister, Kayur Patel:
App Usage Predicts Cognitive Ability in Older Adults. CHI 2019: 168 - [c104]Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind:
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. ICML 2019: 2891-2900 - [c103]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:
Raise to Speak: An Accurate, Low-power Detector for Activating Voice Assistants on Smartwatches. KDD 2019: 2736-2744 - [c102]Carlos Guestrin:
4 Perspectives in Human-Centered Machine Learning. KDD 2019: 3162 - [c101]Carlos Guestrin:
4 Systems Perspectives into Human-Centered Machine Learning. MobiCom 2019: 57:1-57:2 - [c100]Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind:
Adversarial Fisher Vectors for Unsupervised Representation Learning. NeurIPS 2019: 11156-11166 - [i42]Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind:
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. CoRR abs/1905.05895 (2019) - [i41]Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind:
Adversarial Fisher Vectors for Unsupervised Representation Learning. CoRR abs/1910.13101 (2019) - 2018
- [c99]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Anchors: High-Precision Model-Agnostic Explanations. AAAI 2018: 1527-1535 - [c98]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Semantically Equivalent Adversarial Rules for Debugging NLP models. ACL (1) 2018: 856-865 - [c97]Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
Learning to Optimize Tensor Programs. NeurIPS 2018: 3393-3404 - [c96]Tyler B. Johnson, Carlos Guestrin:
Training Deep Models Faster with Robust, Approximate Importance Sampling. NeurIPS 2018: 7276-7286 - [c95]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:
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. OSDI 2018: 578-594 - [r2]Amol Deshpande, Carlos Guestrin, Samuel Madden:
Model-Based Querying in Sensor Networks. Encyclopedia of Database Systems (2nd ed.) 2018 - [i40]Tianqi Chen, Thierry Moreau, Ziheng Jiang, Haichen Shen, Eddie Q. Yan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
TVM: End-to-End Optimization Stack for Deep Learning. CoRR abs/1802.04799 (2018) - [i39]Pouya Pezeshkpour, Carlos Guestrin, Sameer Singh:
Compact Factorization of Matrices Using Generalized Round-Rank. CoRR abs/1805.00184 (2018) - [i38]Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
Learning to Optimize Tensor Programs. CoRR abs/1805.08166 (2018) - [i37]Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
VTA: An Open Hardware-Software Stack for Deep Learning. CoRR abs/1807.04188 (2018) - [i36]Tyler B. Johnson, Carlos Guestrin:
A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems. CoRR abs/1807.08046 (2018) - [i35]Michael Fire, Carlos Guestrin:
Over-Optimization of Academic Publishing Metrics: Observing Goodhart's Law in Action. CoRR abs/1809.07841 (2018) - 2017
- [c94]Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin:
Scaling Submodular Maximization via Pruned Submodularity Graphs. AISTATS 2017: 316-324 - [c93]Tyler B. Johnson, Carlos Guestrin:
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent. ICML 2017: 1752-1760 - [i34]Michael Fire, Carlos Guestrin:
The Rise and Fall of Network Stars. CoRR abs/1706.06690 (2017) - 2016
- [c92]Tianqi Chen, Carlos Guestrin:
XGBoost: A Scalable Tree Boosting System. KDD 2016: 785-794 - [c91]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. KDD 2016: 1135-1144 - [c90]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. HLT-NAACL Demos 2016: 97-101 - [c89]Tyler B. Johnson, Carlos Guestrin:
Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization. NIPS 2016: 4754-4762 - [i33]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. CoRR abs/1602.04938 (2016) - [i32]Tianqi Chen, Carlos Guestrin:
XGBoost: A Scalable Tree Boosting System. CoRR abs/1603.02754 (2016) - [i31]Michael Fire, Carlos Guestrin:
Analyzing Complex Network User Arrival Patterns and Their Effect on Network Topologies. CoRR abs/1603.07445 (2016) - [i30]Tianqi Chen, Bing Xu, Chiyuan Zhang, Carlos Guestrin:
Training Deep Nets with Sublinear Memory Cost. CoRR abs/1604.06174 (2016) - [i29]Tianyi Zhou, Hua Ouyang, Yi Chang, Jeff A. Bilmes, Carlos Guestrin:
Scaling Submodular Maximization via Pruned Submodularity Graphs. CoRR abs/1606.00399 (2016) - [i28]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Model-Agnostic Interpretability of Machine Learning. CoRR abs/1606.05386 (2016) - [i27]Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin:
Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance. CoRR abs/1611.05817 (2016) - [i26]Sameer Singh, Marco Túlio Ribeiro, Carlos Guestrin:
Programs as Black-Box Explanations. CoRR abs/1611.07579 (2016) - 2015
- [j22]Dafna Shahaf, Carlos Guestrin, Eric Horvitz, Jure Leskovec
:
Information cartography. Commun. ACM 58(11): 62-73 (2015) - [c88]Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin:
Efficient Second-Order Gradient Boosting for Conditional Random Fields. AISTATS 2015 - [c87]Tyler B. Johnson, Carlos Guestrin:
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization. ICML 2015: 1171-1179 - [c86]Johan Ugander, Ryan Drapeau, Carlos Guestrin:
The Wisdom of Multiple Guesses. EC 2015: 643-660 - 2014
- [j21]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:
The Swarm at the Edge of the Cloud. IEEE Des. Test 31(3): 8-20 (2014) - [c85]Santosh Kumar Divvala, Ali Farhadi, Carlos Guestrin:
Learning Everything about Anything: Webly-Supervised Visual Concept Learning. CVPR 2014: 3270-3277 - [c84]Eriko Nurvitadhi, Gabriel Weisz, Yu Wang, Skand Hurkat, Marie Nguyen, James C. Hoe, José F. Martínez
, Carlos Guestrin:
GraphGen: An FPGA Framework for Vertex-Centric Graph Computation. FCCM 2014: 25-28 - [c83]Tianqi Chen, Emily B. Fox, Carlos Guestrin:
Stochastic Gradient Hamiltonian Monte Carlo. ICML 2014: 1683-1691 - [c82]Shingo Takamatsu, Carlos Guestrin:
Reducing Data Loading Bottleneck with Coarse Feature Vectors for Large Scale Learning. BigMine 2014: 46-60 - [c81]Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin:
Divide-and-Conquer Learning by Anchoring a Conical Hull. NIPS 2014: 1242-1250 - [c80]Ignacio Cano, Sameer Singh, Carlos Guestrin:
Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014. TREC 2014 - [c79]Yisong Yue, Chong Wang, Khalid El-Arini, Carlos Guestrin:
Personalized collaborative clustering. WWW 2014: 75-84 - [i25]Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser:
Efficient Informative Sensing using Multiple Robots. CoRR abs/1401.3462 (2014) - [i24]Andreas Krause, Carlos Guestrin:
Optimal Value of Information in Graphical Models. CoRR abs/1401.3474 (2014) - [i23]Jonathan Huang, Ashish Kapoor, Carlos Guestrin:
Riffled Independence for Efficient Inference with Partial Rankings. CoRR abs/1401.6421 (2014) - [i22]Tianqi Chen, Emily B. Fox, Carlos Guestrin:
Stochastic Gradient Hamiltonian Monte Carlo. CoRR abs/1402.4102 (2014) - [i21]Aapo Kyrola, Carlos Guestrin:
GraphChi-DB: Simple Design for a Scalable Graph Database System - on Just a PC. CoRR abs/1403.0701 (2014) - [i20]Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin:
Divide-and-Conquer Learning by Anchoring a Conical Hull. CoRR abs/1406.5752 (2014) - [i19]Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein:
GraphLab: A New Framework For Parallel Machine Learning. CoRR abs/1408.2041 (2014) - 2013
- [j20]Dafna Shahaf, Carlos Guestrin, Eric Horvitz:
"Metro maps of information" by Dafna Shahaf, Carlos Guestrin and Eric Horvitz, with Ching-man Au Yeung as coordinator. SIGWEB Newsl. 2013(Spring): 4:1-4:9 (2013) - [c78]Carlos Guestrin:
Usability in machine learning at scale with graphlab. CIKM 2013: 5-6 - [c77]Khalid El-Arini, Min Xu, Emily B. Fox, Carlos Guestrin:
Representing documents through their readers. KDD 2013: 14-22 - [i18]Carlos Guestrin, Geoffrey J. Gordon:
Distributed Planning in Hierarchical Factored MDPs. CoRR abs/1301.0571 (2013) - [i17]Carlos Guestrin, Dirk Ormoneit:
Robust Combination of Local Controllers. CoRR abs/1301.2273 (2013) - 2012
- [j19]Jonathan Huang, Ashish Kapoor, Carlos Guestrin:
Riffled Independence for Efficient Inference with Partial Rankings. J. Artif. Intell. Res. 44: 491-532 (2012) - [j18]Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein:
Distributed GraphLab: A Framework for Machine Learning in the Cloud. Proc. VLDB Endow. 5(8): 716-727 (2012) - [j17]Dafna Shahaf, Carlos Guestrin:
Connecting Two (or Less) Dots: Discovering Structure in News Articles. ACM Trans. Knowl. Discov. Data 5(4): 24:1-24:31 (2012) - [c76]Yisong Yue, Sue Ann Hong, Carlos Guestrin:
Hierarchical Exploration for Accelerating Contextual Bandits. ICML 2012 - [c75]Dafna Shahaf, Carlos Guestrin, Eric Horvitz:
Metro maps of science. KDD 2012: 1122-1130 - [c74]Joseph E. Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin:
PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs. OSDI 2012: 17-30 - [c73]Aapo Kyrola, Guy E. Blelloch, Carlos Guestrin:
GraphChi: Large-Scale Graph Computation on Just a PC. OSDI 2012: 31-46 - [c72]Dafna Shahaf, Carlos Guestrin, Eric Horvitz:
Trains of thought: generating information maps. WWW 2012: 899-908 - [c71]Joseph K. Bradley, Carlos Guestrin:
Sample Complexity of Composite Likelihood. AISTATS 2012: 136-160 - [i16]Jonathan Huang, Ashish Kapoor, Carlos Guestrin:
Efficient Probabilistic Inference with Partial Ranking Queries. CoRR abs/1202.3734 (2012) - [i15]Khalid El-Arini, Emily B. Fox, Carlos Guestrin:
Concept Modeling with Superwords. CoRR abs/1204.2523 (2012) - [i14]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) - [i13]Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron:
Distributed Parallel Inference on Large Factor Graphs. CoRR abs/1205.2645 (2012) - [i12]Andreas Krause, Carlos Guestrin:
Near-optimal Nonmyopic Value of Information in Graphical Models. CoRR abs/1207.1394 (2012) - [i11]Carlos Guestrin, Milos Hauskrecht, Branislav Kveton:
Solving Factored MDPs with Continuous and Discrete Variables. CoRR abs/1207.4150 (2012) - [i10]Mark A. Paskin, Carlos Guestrin:
Robust Probabilistic Inference in Distributed Systems. CoRR abs/1207.4174 (2012) - 2011
- [j16]Andreas Krause
, Ram Rajagopal, Anupam Gupta, Carlos Guestrin:
Simultaneous Optimization of Sensor Placements and Balanced Schedules. IEEE Trans. Autom. Control. 56(10): 2390-2405 (2011) - [j15]Andreas Krause, Carlos Guestrin:
Submodularity and its applications in optimized information gathering. ACM Trans. Intell. Syst. Technol. 2(4): 32:1-32:20 (2011) - [j14]Andreas Krause
, Carlos Guestrin, Anupam Gupta, Jon M. Kleinberg:
Robust sensor placements at informative and communication-efficient locations. ACM Trans. Sens. Networks 7(4): 31:1-31:33 (2011) - [c70]Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin:
Parallel Coordinate Descent for L1-Regularized Loss Minimization. ICML 2011: 321-328 - [c69]Dafna Shahaf, Carlos Guestrin:
Connecting the Dots between News Articles. IJCAI 2011: 2734-2739 - [c68]Khalid El-Arini, Carlos Guestrin:
Beyond keyword search: discovering relevant scientific literature. KDD 2011: 439-447 - [c67]Yisong Yue, Carlos Guestrin:
Linear Submodular Bandits and their Application to Diversified Retrieval. NIPS 2011: 2483-2491 - [c66]Jonathan Huang, Ashish Kapoor, Carlos Guestrin:
Efficient Probabilistic Inference with Partial Ranking Queries. UAI 2011: 355-362 - [c65]Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin:
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees. AISTATS 2011: 324-332 - [c64]Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin:
Kernel Belief Propagation. AISTATS 2011: 707-715 - [i9]Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin:
Parallel Coordinate Descent for L1-Regularized Loss Minimization. CoRR abs/1105.5379 (2011) - [i8]Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin:
Kernel Belief Propagation. CoRR abs/1105.5592 (2011) - [i7]Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman:
Efficient Solution Algorithms for Factored MDPs. CoRR abs/1106.1822 (2011) - [i6]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) - [i5]Carlos Guestrin, Milos Hauskrecht, Branislav Kveton:
Solving Factored MDPs with Hybrid State and Action Variables. CoRR abs/1110.0028 (2011) - 2010
- [j13]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 Mag. 31(3): 103-114 (2010) - [c63]Alexandra Meliou, Carlos Guestrin, Joseph M. Hellerstein:
Multiresolution Cube Estimators for Sensor Network Aggregate Queries. AMW 2010 - [c62]Joseph K. Bradley, Carlos Guestrin:
Learning Tree Conditional Random Fields. ICML 2010: 127-134 - [c61]Jonathan Huang, Carlos Guestrin:
Learning Hierarchical Riffle Independent Groupings from Rankings. ICML 2010: 455-462 - [c60]Dafna Shahaf, Carlos Guestrin:
Connecting the dots between news articles. KDD 2010: 623-632 - [c59]Danny Bickson, Carlos Guestrin:
Inference with Multivariate Heavy-Tails in Linear Models. NIPS 2010: 208-216 - [c58]Anton Chechetka, Carlos Guestrin:
Evidence-Specific Structures for Rich Tractable CRFs. NIPS 2010: 352-360 - [c57]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 - [c56]Anton Chechetka, Carlos Guestrin:
Focused Belief Propagation for Query-Specific Inference. AISTATS 2010: 89-96 - [c55]Le Song, Arthur Gretton, Carlos Guestrin:
Nonparametric Tree Graphical Models. AISTATS 2010: 765-772 - [i4]Jonathan Huang, Carlos Guestrin:
Uncovering the Riffled Independence Structure of Rankings. CoRR abs/1006.1328 (2010) - [i3]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) - [i2]Alexandra Meliou, Carlos Guestrin, Joseph M. Hellerstein:
Multiresolution Cube Estimators for Sensor Network Aggregate Queries. CoRR abs/1007.3781 (2010) - [i1]Danny Bickson, Carlos Guestrin:
Linear Characteristic Graphical Models: Representation, Inference and Applications. CoRR abs/1008.5325 (2010)
2000 – 2009
- 2009
- [j12]Andreas Krause
, Carlos Guestrin:
Optimizing Sensing: From Water to the Web. Computer 42(8): 38-45 (2009) - [j11]Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser:
Efficient Informative Sensing using Multiple Robots. J. Artif. Intell. Res. 34: 707-755 (2009) - [j10]Andreas Krause, Carlos Guestrin:
Optimal Value of Information in Graphical Models. J. Artif. Intell. Res. 35: 557-591 (2009) - [j9]Jonathan Huang, Carlos Guestrin, Leonidas J. Guibas:
Fourier Theoretic Probabilistic Inference over Permutations. J. Mach. Learn. Res. 10: 997-1070 (2009) - [c54]Andreas Krause, Ram Rajagopal, Anupam Gupta, Carlos Guestrin:
Simultaneous placement and scheduling of sensors. IPSN 2009: 181-192 - [c53]Alexandra Meliou, Carlos Guestrin, Joseph M. Hellerstein:
Approximating sensor network queries using in-network summaries. IPSN 2009: 229-240 - [c52]Carlos Guestrin:
How optimized environmental sensing helps address information overload on the web. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 11 - [c51]