Carlos Guestrin

224 papers A* 58A 22B 1C 3Misc 3Journal 102Unranked 32
YearRankTypeTitle / Venue / Authors
2026 J jnl
ALMo: Interactive Aim-Limit-Defined, Multi-Objective System for Personalized High-Dose-Rate Brachytherapy Treatment Planning and Visualization for Cervical Cancer.
CoRR
Edward Chen, Natalie Dullerud, Pang Wei Koh, Thomas Niedermayr, Elizabeth Kidd, Sanmi Koyejo, Carlos Guestrin
2026 J jnl
Discovering Implicit Large Language Model Alignment Objectives.
CoRR
Edward Chen, Sanmi Koyejo, Carlos Guestrin
2026 J jnl
Learning to Discover at Test Time.
CoRR
Mert Yüksekgönül, Daniel Koceja, Xinhao Li, Federico Bianchi, Jed McCaleb, Xiaolong Wang, Jan Kautz, Yejin Choi, James Zou, Carlos Guestrin, Yu Sun
2026 J jnl
PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models.
CoRR
Vignesh Kothapalli, Rishabh Ranjan, Valter Hudovernik, Vijay Prakash Dwivedi, Johannes Hoffart, Carlos Guestrin, Jure Leskovec
2026 J jnl
Reinforcement Learning via Self-Distillation.
CoRR
Jonas Hübotter, Frederike Lübeck, Lejs Behric, Anton Baumann, Marco Bagatella, Daniel Marta, Ido Hakimi, Idan Shenfeld, Thomas Kleine Buening, Carlos Guestrin, Andreas Krause
2025 — conf
Benchmarking Distributional Alignment of Large Language Models.
NAACL (Long Papers)
Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto
2025 J jnl
DeepScholar-Bench: A Live Benchmark and Automated Evaluation for Generative Research Synthesis.
CoRR
Liana Patel, Negar Arabzadeh, Harshit Gupta, Ankita Sundar, Ion Stoica, Matei Zaharia, Carlos Guestrin
2025 J jnl
End-to-End Test-Time Training for Long Context.
CoRR
Arnuv Tandon, Karan Dalal, Xinhao Li, Daniel Koceja, Marcel Rød, Sam Buchanan, Xiaolong Wang, Jure Leskovec, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin, Jed McCaleb, Yejin Choi, Yu Sun
2025 J jnl
Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds.
CoRR
Edward Chen, Sang T. Truong, Natalie Dullerud, Sanmi Koyejo, Carlos Guestrin
2025 A* conf
Learning to (Learn at Test Time): RNNs with Expressive Hidden States.
ICML
Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin
2025 A* conf
Model Equality Testing: Which Model is this API Serving?
ICLR
Irena Gao, Percy Liang, Carlos Guestrin
2025 J jnl
One-Minute Video Generation with Test-Time Training.
CoRR
Karan Dalal, Daniel Koceja, Gashon Hussein, Jiarui Xu, Yue Zhao, Youjin Song, Shihao Han, Ka Chun Cheung, Jan Kautz, Carlos Guestrin, Tatsunori Hashimoto, Sanmi Koyejo, Yejin Choi, Yu Sun, Xiaolong Wang
2025 J jnl
Optimizing generative AI by backpropagating language model feedback.
Nat.
Mert Yüksekgönül, Federico Bianchi, Joseph Boen, Sheng Liu, Pan Lu, Zhi Huang, Carlos Guestrin, James Zou
2025 J jnl
Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data.
CoRR
Rishabh Ranjan, Valter Hudovernik, Mark Znidar, Charilaos I. Kanatsoulis, Roshan Upendra, Mahmoud Mohammadi, Joe Meyer, Tom Palczewski, Carlos Guestrin, Jure Leskovec
2025 J jnl
Semantic Operators and Their Optimization: Towards AI-Based Data Analytics with Accuracy Guarantees.
Proc. VLDB Endow.
Liana Patel, Siddharth Jha, Melissa Z. Pan, Harshit Gupta, Parth Asawa, Carlos Guestrin, Matei Zaharia
2025 J jnl
Societal Impacts Research Requires Benchmarks for Creative Composition Tasks.
CoRR
Judy Hanwen Shen, Carlos Guestrin
2025 A conf
Text2SQL is Not Enough: Unifying AI and Databases with TAG.
CIDR
Asim Biswal, Siddharth Jha, Carlos Guestrin, Matei Zaharia, Joseph E. Gonzalez, Amog Kamsetty, Shu Liu, Liana Patel
2025 J jnl
metaTextGrad: Automatically optimizing language model optimizers.
CoRR
Guowei Xu, Mert Yüksekgönül, Carlos Guestrin, James Y. Zou
2024 J jnl
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data.
CoRR
Liana Patel, Peter Kraft, Carlos Guestrin, Matei Zaharia
2024 J jnl
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data.
Proc. ACM Manag. Data
Liana Patel, Peter Kraft, Carlos Guestrin, Matei Zaharia
2024 J jnl
Benchmarking Distributional Alignment of Large Language Models.
CoRR
Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto
2024 — conf
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks.
SP (Workshops)
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto
2024 J jnl
LOTUS: Enabling Semantic Queries with LLMs Over Tables of Unstructured and Structured Data.
CoRR
Liana Patel, Siddharth Jha, Carlos Guestrin, Matei Zaharia
2024 J jnl
Learning to (Learn at Test Time): RNNs with Expressive Hidden States.
CoRR
Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin
2024 J jnl
MoSH: Modeling Multi-Objective Tradeoffs with Soft and Hard Bounds.
CoRR
Edward Chen, Natalie Dullerud, Thomas Niedermayr, Elizabeth Kidd, Ransalu Senanayake, Pang Wei Koh, Sanmi Koyejo, Carlos Guestrin
2024 J jnl
Model Equality Testing: Which Model Is This API Serving?
CoRR
Irena Gao, Percy Liang, Carlos Guestrin
2024 J jnl
Obfuscated Activations Bypass LLM Latent-Space Defenses.
CoRR
Luke Bailey, Alex Serrano, Abhay Sheshadri, Mikhail Seleznyov, Jordan Taylor, Erik Jenner, Jacob Hilton, Stephen Casper, Carlos Guestrin, Scott Emmons
2024 A* conf
Post-Hoc Reversal: Are We Selecting Models Prematurely?
NeurIPS
Rishabh Ranjan, Saurabh Garg, Mrigank Raman, Carlos Guestrin, Zachary C. Lipton
2024 J jnl
Post-Hoc Reversal: Are We Selecting Models Prematurely?
CoRR
Rishabh Ranjan, Saurabh Garg, Mrigank Raman, Carlos Guestrin, Zachary Chase Lipton
2024 J jnl
Text2SQL is Not Enough: Unifying AI and Databases with TAG.
CoRR
Asim Biswal, Liana Patel, Siddarth Jha, Amog Kamsetty, Shu Liu, Joseph E. Gonzalez, Carlos Guestrin, Matei Zaharia
2024 J jnl
TextGrad: Automatic "Differentiation" via Text.
CoRR
Mert Yüksekgönül, Federico Bianchi, Joseph Boen, Sheng Liu, Zhi Huang, Carlos Guestrin, James Zou
2024 J jnl
The Extractive-Abstractive Spectrum: Uncovering Verifiability Trade-offs in LLM Generations.
CoRR
Theodora Worledge, Tatsunori Hashimoto, Carlos Guestrin
2024 — conf
Unifying Corroborative and Contributive Attributions in Large Language Models.
SaTML
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin
2023 A* conf
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback.
NeurIPS
Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
2023 J jnl
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback.
CoRR
Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
2023 A* conf
Beyond Confidence: Reliable Models Should Also Consider Atypicality.
NeurIPS
Mert Yüksekgönül, Linjun Zhang, James Y. Zou, Carlos Guestrin
2023 J jnl
Beyond Confidence: Reliable Models Should Also Consider Atypicality.
CoRR
Mert Yüksekgönül, Linjun Zhang, James Zou, Carlos Guestrin
2023 J jnl
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks.
CoRR
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto
2023 J jnl
Learning to (Learn at Test Time).
CoRR
Yu Sun, Xinhao Li, Karan Dalal, Chloe Hsu, Sanmi Koyejo, Carlos Guestrin, Xiaolong Wang, Tatsunori Hashimoto, Xinlei Chen
2023 J jnl
Unifying Corroborative and Contributive Attributions in Large Language Models.
CoRR
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin
2021 A* conf
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract).
IJCAI
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
2021 A* conf
Learning Neural Network Subspaces.
ICML
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
2021 J jnl
Learning Neural Network Subspaces.
CoRR
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
2020 A* conf
AdaScale SGD: A User-Friendly Algorithm for Distributed Training.
ICML
Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin
2020 J jnl
AdaScale SGD: A User-Friendly Algorithm for Distributed Training.
CoRR
Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin
2020 A* conf
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList.
ACL
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
2020 J jnl
Beyond Accuracy: Behavioral Testing of NLP models with CheckList.
CoRR
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
2020 J jnl
Equivariant Neural Rendering.
CoRR
Emilien Dupont, Miguel Ángel Bautista, Alex Colburn, Aditya Sankar, Carlos Guestrin, Josh M. Susskind, Qi Shan
2020 J jnl
Set Distribution Networks: a Generative Model for Sets of Images.
CoRR
Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind
2020 J jnl
The rise and fall of network stars: Analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time.
Inf. Process. Manag.
Michael Fire, Carlos Guestrin
2019 A* conf
4 Perspectives in Human-Centered Machine Learning.
KDD
Carlos Guestrin
2019 A* conf
4 Systems Perspectives into Human-Centered Machine Learning.
MobiCom
Carlos Guestrin
2019 J jnl
A Hardware-Software Blueprint for Flexible Deep Learning Specialization.
IEEE Micro
Thierry Moreau, Tianqi Chen, Luis Vega, Jared Roesch, Eddie Q. Yan, Lianmin Zheng, Josh Fromm, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
2019 A* conf
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment.
ICML
Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
2019 J jnl
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment.
CoRR
Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
2019 A* conf
Adversarial Fisher Vectors for Unsupervised Representation Learning.
NeurIPS
Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind
2019 J jnl
Adversarial Fisher Vectors for Unsupervised Representation Learning.
CoRR
Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind
2019 A* conf
App Usage Predicts Cognitive Ability in Older Adults.
CHI
Mitchell L. Gordon, Leon A. Gatys, Carlos Guestrin, Jeffrey P. Bigham, Andrew Trister, Kayur Patel
2019 — conf
Are Red Roses Red? Evaluating Consistency of Question-Answering Models.
ACL (1)
Marco Túlio Ribeiro, Carlos Guestrin, Sameer Singh
2019 A* conf
Raise to Speak: An Accurate, Low-power Detector for Activating Voice Assistants on Smartwatches.
KDD
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
2018 J jnl
A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems.
CoRR
Tyler B. Johnson, Carlos Guestrin
2018 A* conf
Anchors: High-Precision Model-Agnostic Explanations.
AAAI
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2018 J jnl
Compact Factorization of Matrices Using Generalized Round-Rank.
CoRR
Pouya Pezeshkpour, Carlos Guestrin, Sameer Singh
2018 A* conf
Learning to Optimize Tensor Programs.
NeurIPS
Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
2018 J jnl
Learning to Optimize Tensor Programs.
CoRR
Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
2018 — ch.
Model-Based Querying in Sensor Networks.
Encyclopedia of Database Systems (2nd ed.)
Amol Deshpande, Carlos Guestrin, Samuel Madden
2018 J jnl
Over-Optimization of Academic Publishing Metrics: Observing Goodhart's Law in Action.
CoRR
Michael Fire, Carlos Guestrin
2018 — conf
Semantically Equivalent Adversarial Rules for Debugging NLP models.
ACL (1)
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2018 A* conf
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning.
OSDI
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
2018 J jnl
TVM: End-to-End Optimization Stack for Deep Learning.
CoRR
Tianqi Chen, Thierry Moreau, Ziheng Jiang, Haichen Shen, Eddie Q. Yan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
2018 A* conf
Training Deep Models Faster with Robust, Approximate Importance Sampling.
NeurIPS
Tyler B. Johnson, Carlos Guestrin
2018 J jnl
VTA: An Open Hardware-Software Stack for Deep Learning.
CoRR
Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
2017 A conf
Scaling Submodular Maximization via Pruned Submodularity Graphs.
AISTATS
Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin
2017 A* conf
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent.
ICML
Tyler B. Johnson, Carlos Guestrin
2017 J jnl
The Rise and Fall of Network Stars.
CoRR
Michael Fire, Carlos Guestrin
2016 A* conf
"Why Should I Trust You?": Explaining the Predictions of Any Classifier.
KDD
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016 — conf
"Why Should I Trust You?": Explaining the Predictions of Any Classifier.
HLT-NAACL Demos
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016 J jnl
"Why Should I Trust You?": Explaining the Predictions of Any Classifier.
CoRR
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016 J jnl
Analyzing Complex Network User Arrival Patterns and Their Effect on Network Topologies.
CoRR
Michael Fire, Carlos Guestrin
2016 J jnl
Model-Agnostic Interpretability of Machine Learning.
CoRR
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016 J jnl
Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance.
CoRR
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
2016 J jnl
Programs as Black-Box Explanations.
CoRR
Sameer Singh, Marco Túlio Ribeiro, Carlos Guestrin
2016 J jnl
Scaling Submodular Maximization via Pruned Submodularity Graphs.
CoRR
Tianyi Zhou, Hua Ouyang, Yi Chang, Jeff A. Bilmes, Carlos Guestrin
2016 J jnl
Training Deep Nets with Sublinear Memory Cost.
CoRR
Tianqi Chen, Bing Xu, Chiyuan Zhang, Carlos Guestrin
2016 — conf
Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization.
NIPS
Tyler B. Johnson, Carlos Guestrin
2016 A* conf
XGBoost: A Scalable Tree Boosting System.
KDD
Tianqi Chen, Carlos Guestrin
2016 J jnl
XGBoost: A Scalable Tree Boosting System.
CoRR
Tianqi Chen, Carlos Guestrin
2015 A* conf
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization.
ICML
Tyler B. Johnson, Carlos Guestrin
2015 A conf
Efficient Second-Order Gradient Boosting for Conditional Random Fields.
AISTATS
Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin
2015 J jnl
Information cartography.
Commun. ACM
Dafna Shahaf, Carlos Guestrin, Eric Horvitz, Jure Leskovec
2015 A* conf
The Wisdom of Multiple Guesses.
EC
Johan Ugander, Ryan Drapeau, Carlos Guestrin
2014 — conf
Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014.
TREC
Ignacio Cano, Sameer Singh, Carlos Guestrin
2014 — conf
Divide-and-Conquer Learning by Anchoring a Conical Hull.
NIPS
Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin
2014 J jnl
Divide-and-Conquer Learning by Anchoring a Conical Hull.
CoRR
Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin
2014 J jnl
Efficient Informative Sensing using Multiple Robots.
CoRR
Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser
2014 J jnl
GraphChi-DB: Simple Design for a Scalable Graph Database System - on Just a PC.
CoRR
Aapo Kyrola, Carlos Guestrin
2014 Misc conf
GraphGen: An FPGA Framework for Vertex-Centric Graph Computation.
FCCM
Eriko Nurvitadhi, Gabriel Weisz, Yu Wang, Skand Hurkat, Marie Nguyen, James C. Hoe, José F. Martínez, Carlos Guestrin
2014 J jnl
GraphLab: A New Framework For Parallel Machine Learning.
CoRR
Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2014 A* conf
Learning Everything about Anything: Webly-Supervised Visual Concept Learning.
CVPR
Santosh Kumar Divvala, Ali Farhadi, Carlos Guestrin
2014 J jnl
Optimal Value of Information in Graphical Models.
CoRR
Andreas Krause, Carlos Guestrin
2014 A* conf
Personalized collaborative clustering.
WWW
Yisong Yue, Chong Wang, Khalid El-Arini, Carlos Guestrin
2014 — conf
Reducing Data Loading Bottleneck with Coarse Feature Vectors for Large Scale Learning.
BigMine
Shingo Takamatsu, Carlos Guestrin
2014 J jnl
Riffled Independence for Efficient Inference with Partial Rankings.
CoRR
Jonathan Huang, Ashish Kapoor, Carlos Guestrin
2014 A* conf
Stochastic Gradient Hamiltonian Monte Carlo.
ICML
Tianqi Chen, Emily B. Fox, Carlos Guestrin
2014 J jnl
Stochastic Gradient Hamiltonian Monte Carlo.
CoRR
Tianqi Chen, Emily B. Fox, Carlos Guestrin
2014 J jnl
The Swarm at the Edge of the Cloud.
IEEE Des. Test
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
2013 J jnl
"Metro maps of information" by Dafna Shahaf, Carlos Guestrin and Eric Horvitz, with Ching-man Au Yeung as coordinator.
SIGWEB Newsl.
Dafna Shahaf, Carlos Guestrin, Eric Horvitz
2013 J jnl
Distributed Planning in Hierarchical Factored MDPs
CoRR
Carlos Guestrin, Geoffrey J. Gordon
2013 A* conf
Representing documents through their readers.
KDD
Khalid El-Arini, Min Xu, Emily B. Fox, Carlos Guestrin
2013 J jnl
Robust Combination of Local Controllers
CoRR
Carlos Guestrin, Dirk Ormoneit
2013 A conf
Usability in machine learning at scale with graphlab.
CIKM
Carlos Guestrin
2012 J jnl
Concept Modeling with Superwords
CoRR
Khalid El-Arini, Emily B. Fox, Carlos Guestrin
2012 J jnl
Connecting Two (or Less) Dots: Discovering Structure in News Articles.
ACM Trans. Knowl. Discov. Data
Dafna Shahaf, Carlos Guestrin
2012 J jnl
Distributed GraphLab: A Framework for Machine Learning in the Cloud
CoRR
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2012 J jnl
Distributed GraphLab: A Framework for Machine Learning in the Cloud.
Proc. VLDB Endow.
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2012 J jnl
Distributed Parallel Inference on Large Factor Graphs
CoRR
Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron
2012 J jnl
Efficient Probabilistic Inference with Partial Ranking Queries
CoRR
Jonathan Huang, Ashish Kapoor, Carlos Guestrin
2012 A* conf
GraphChi: Large-Scale Graph Computation on Just a PC.
OSDI
Aapo Kyrola, Guy E. Blelloch, Carlos Guestrin
2012 A* conf
Hierarchical Exploration for Accelerating Contextual Bandits.
ICML
Yisong Yue, Sue Ann Hong, Carlos Guestrin
2012 A* conf
Metro maps of science.
KDD
Dafna Shahaf, Carlos Guestrin, Eric Horvitz
2012 J jnl
Near-optimal Nonmyopic Value of Information in Graphical Models
CoRR
Andreas Krause, Carlos Guestrin
2012 A* conf
PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs.
OSDI
Joseph E. Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin
2012 J jnl
Riffled Independence for Efficient Inference with Partial Rankings.
J. Artif. Intell. Res.
Jonathan Huang, Ashish Kapoor, Carlos Guestrin
2012 J jnl
Robust Probabilistic Inference in Distributed Systems
CoRR
Mark A. Paskin, Carlos Guestrin
2012 A conf
Sample Complexity of Composite Likelihood.
AISTATS
Joseph K. Bradley, Carlos Guestrin
2012 J jnl
Solving Factored MDPs with Continuous and Discrete Variables
CoRR
Carlos Guestrin, Milos Hauskrecht, Branislav Kveton
2012 A* conf
Trains of thought: generating information maps.
WWW
Dafna Shahaf, Carlos Guestrin, Eric Horvitz
2011 A* conf
Beyond keyword search: discovering relevant scientific literature.
KDD
Khalid El-Arini, Carlos Guestrin
2011 A* conf
Connecting the Dots between News Articles.
IJCAI
Dafna Shahaf, Carlos Guestrin
2011 A conf
Efficient Probabilistic Inference with Partial Ranking Queries.
UAI
Jonathan Huang, Ashish Kapoor, Carlos Guestrin
2011 J jnl
Efficient Solution Algorithms for Factored MDPs
CoRR
Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman
2011 J jnl
GraphLab: A Distributed Framework for Machine Learning in the Cloud
CoRR
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin
2011 J jnl
Kernel Belief Propagation
CoRR
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin
2011 A conf
Kernel Belief Propagation.
AISTATS
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin
2011 — conf
Linear Submodular Bandits and their Application to Diversified Retrieval.
NIPS
Yisong Yue, Carlos Guestrin
2011 J jnl
Parallel Coordinate Descent for L1-Regularized Loss Minimization
CoRR
Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin
2011 A* conf
Parallel Coordinate Descent for L1-Regularized Loss Minimization.
ICML
Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin
2011 A conf
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees.
AISTATS
Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin
2011 J jnl
Robust sensor placements at informative and communication-efficient locations.
ACM Trans. Sens. Networks
Andreas Krause, Carlos Guestrin, Anupam Gupta, Jon M. Kleinberg
2011 J jnl
Simultaneous Optimization of Sensor Placements and Balanced Schedules.
IEEE Trans. Autom. Control.
Andreas Krause, Ram Rajagopal, Anupam Gupta, Carlos Guestrin
2011 J jnl
Solving Factored MDPs with Hybrid State and Action Variables
CoRR
Carlos Guestrin, Milos Hauskrecht, Branislav Kveton
2011 J jnl
Submodularity and its applications in optimized information gathering.
ACM Trans. Intell. Syst. Technol.
Andreas Krause, Carlos Guestrin
2010 J jnl
AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead.
AI Mag.
Eric Horvitz, Lise Getoor, Carlos Guestrin, James A. Hendler, Joseph A. Konstan, Devika Subramanian, Michael P. Wellman, Henry A. Kautz
2010 A* conf
Connecting the dots between news articles.
KDD
Dafna Shahaf, Carlos Guestrin
2010 — conf
Evidence-Specific Structures for Rich Tractable CRFs.
NIPS
Anton Chechetka, Carlos Guestrin
2010 A conf
Focused Belief Propagation for Query-Specific Inference.
AISTATS
Anton Chechetka, Carlos Guestrin
2010 A conf
GraphLab: A New Framework For Parallel Machine Learning.
UAI
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2010 J jnl
GraphLab: A New Framework for Parallel Machine Learning
CoRR
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2010 — conf
Inference with Multivariate Heavy-Tails in Linear Models.
NIPS
Danny Bickson, Carlos Guestrin
2010 A* conf
Learning Hierarchical Riffle Independent Groupings from Rankings.
ICML
Jonathan Huang, Carlos Guestrin
2010 A* conf
Learning Tree Conditional Random Fields.
ICML
Joseph K. Bradley, Carlos Guestrin
2010 J jnl
Linear Characteristic Graphical Models: Representation, Inference and Applications
CoRR
Danny Bickson, Carlos Guestrin
2010 J jnl
Multiresolution Cube Estimators for Sensor Network Aggregate Queries
CoRR
Alexandra Meliou, Carlos Guestrin, Joseph M. Hellerstein
2010 — conf
Multiresolution Cube Estimators for Sensor Network Aggregate Queries.
AMW
Alexandra Meliou, Carlos Guestrin, Joseph M. Hellerstein
2010 A conf
Nonparametric Tree Graphical Models.
AISTATS
Le Song, Arthur Gretton, Carlos Guestrin
2010 J jnl
Uncovering the Riffled Independence Structure of Rankings
CoRR
Jonathan Huang, Carlos Guestrin
2009 — conf
Approximating sensor network queries using in-network summaries.
IPSN
Alexandra Meliou, Carlos Guestrin, Joseph M. Hellerstein
2009 A conf
Distributed Parallel Inference on Large Factor Graphs.
UAI
Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron
2009 J jnl
Efficient Informative Sensing using Multiple Robots.
J. Artif. Intell. Res.
Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser
2009 A conf
Exploiting Probabilistic Independence for Permutations.
AISTATS
Jonathan Huang, Carlos Guestrin, Xiaoye Jiang, Leonidas J. Guibas
2009 J jnl
Fourier Theoretic Probabilistic Inference over Permutations.
J. Mach. Learn. Res.
Jonathan Huang, Carlos Guestrin, Leonidas J. Guibas
2009 — conf
How optimized environmental sensing helps address information overload on the web.
KDD Workshop on Knowledge Discovery from Sensor Data
Carlos Guestrin
2009 A conf
Learning Thin Junction Trees via Graph Cuts.
AISTATS
Dafna Shahaf, Carlos Guestrin
2009 — ch.
Model-based Querying in Sensor Networks.
Encyclopedia of Database Systems
Amol Deshpande, Carlos Guestrin, Samuel Madden
2009 J jnl
Optimal Value of Information in Graphical Models.
J. Artif. Intell. Res.
Andreas Krause, Carlos Guestrin
2009 J jnl
Optimizing Sensing: From Water to the Web.
Computer
Andreas Krause, Carlos Guestrin
2009 A conf
Residual Splash for Optimally Parallelizing Belief Propagation.
AISTATS
Joseph Gonzalez, Yucheng Low, Carlos Guestrin
2009 — conf
Riffled Independence for Ranked Data.
NIPS
Jonathan Huang, Carlos Guestrin
2009 — conf
Simultaneous placement and scheduling of sensors.
IPSN
Andreas Krause, Ram Rajagopal, Anupam Gupta, Carlos Guestrin
2009 A* conf
Turning down the noise in the blogosphere.
KDD
Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos Guestrin
2008 J jnl
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies.
J. Mach. Learn. Res.
Andreas Krause, Ajit Paul Singh, Carlos Guestrin
2007 A* conf
Cost-effective outbreak detection in networks.
KDD
Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne M. VanBriesen, Natalie S. Glance
2007 — conf
Efficient Inference for Distributions on Permutations.
NIPS
Jonathan Huang, Carlos Guestrin, Leonidas J. Guibas
2007 A* conf
Efficient Planning of Informative Paths for Multiple Robots.
IJCAI
Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser, Maxim A. Batalin
2007 — conf
Efficient Principled Learning of Thin Junction Trees.
NIPS
Anton Chechetka, Carlos Guestrin
2007 A* conf
Information Survival Threshold in Sensor and P2P Networks.
INFOCOM
Deepayan Chakrabarti, Jure Leskovec, Christos Faloutsos, Samuel Madden, Carlos Guestrin, Michalis Faloutsos
2007 A* conf
Near-optimal Observation Selection using Submodular Functions.
AAAI
Andreas Krause, Carlos Guestrin
2007 A* conf
Nonmyopic Informative Path Planning in Spatio-Temporal Models.
AAAI
Alexandra Meliou, Andreas Krause, Carlos Guestrin, Joseph M. Hellerstein
2007 A* conf
Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach.
ICML
Andreas Krause, Carlos Guestrin
2007 A* conf
Robust, low-cost, non-intrusive sensing and recognition of seated postures.
UIST
Bilge Mutlu, Andreas Krause, Jodi Forlizzi, Carlos Guestrin, Jessica K. Hodgins
2007 — conf
Selecting Observations against Adversarial Objectives.
NIPS
Andreas Krause, H. Brendan McMahan, Carlos Guestrin, Anupam Gupta
2006 A* conf
Data association for topic intensity tracking.
ICML
Andreas Krause, Jure Leskovec, Carlos Guestrin
2006 — conf
Data gathering tours in sensor networks.
IPSN
Alexandra Meliou, David Chu, Joseph M. Hellerstein, Carlos Guestrin, Wei Hong
2006 — conf
Distributed Inference in Dynamical Systems.
NIPS
Stanislav Funiak, Carlos Guestrin, Mark A. Paskin, Rahul Sukthankar
2006 — conf
Distributed localization of networked cameras.
IPSN
Stanislav Funiak, Carlos Guestrin, Mark A. Paskin, Rahul Sukthankar
2006 — conf
Near-optimal sensor placements: maximizing information while minimizing communication cost.
IPSN
Andreas Krause, Carlos Guestrin, Anupam Gupta, Jon M. Kleinberg
2006 J jnl
Solving Factored MDPs with Hybrid State and Action Variables.
J. Artif. Intell. Res.
Branislav Kveton, Milos Hauskrecht, Carlos Guestrin
2005 — conf
A robust architecture for distributed inference in sensor networks.
IPSN
Mark A. Paskin, Carlos Guestrin, Jim McFadden
2005 Misc conf
Claytronics: highly scalable communications, sensing, and actuation networks.
SenSys
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
2005 A* conf
Concurrent Hierarchical Reinforcement Learning.
IJCAI
Bhaskara Marthi, Stuart Russell, David Latham, Carlos Guestrin
2005 A* conf
Exploiting Correlated Attributes in Acquisitional Query Processing.
ICDE
Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel Madden
2005 Misc conf
Intelligent light control using sensor networks.
SenSys
Vipul Singhvi, Andreas Krause, Carlos Guestrin, James H. Garrett Jr., H. Scott Matthews
2005 A* conf
Learning structured prediction models: a large margin approach.
ICML
Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin
2005 J jnl
Model-based approximate querying in sensor networks.
VLDB J.
Amol Deshpande, Carlos Guestrin, Samuel Madden, Joseph M. Hellerstein, Wei Hong
2005 J jnl
Modeling Link Qualities in a Sensor Network.
Informatica (Slovenia)
Jure Leskovec, Purnamrita Sarkar, Carlos Guestrin
2005 A conf
Near-optimal Nonmyopic Value of Information in Graphical Models.
UAI
Andreas Krause, Carlos Guestrin
2005 A* conf
Near-optimal sensor placements in Gaussian processes.
ICML
Carlos Guestrin, Andreas Krause, Ajit Paul Singh
2005 A* conf
Optimal Nonmyopic Value of Information in Graphical Models - Efficient Algorithms and Theoretical Limits.
IJCAI
Andreas Krause, Carlos Guestrin
2005 J jnl
Resource-Aware Wireless Sensor-Actuator Networks.
IEEE Data Eng. Bull.
Amol Deshpande, Carlos Guestrin, Samuel Madden
2005 A conf
Using Probabilistic Models for Data Management in Acquisitional Environments.
CIDR
Amol Deshpande, Carlos Guestrin, Samuel Madden
2004 — conf
Distributed regression: an efficient framework for modeling sensor network data.
IPSN
Carlos Guestrin, Peter Bodík, Romain Thibaux, Mark A. Paskin, Samuel Madden
2004 A* conf
Model-Driven Data Acquisition in Sensor Networks.
VLDB
Amol Deshpande, Carlos Guestrin, Samuel Madden, Joseph M. Hellerstein, Wei Hong
2004 A conf
Robust Probabilistic Inference in Distributed Systems.
UAI
Mark A. Paskin, Carlos Guestrin
2004 A conf
Solving Factored MDPs with Continuous and Discrete Variables.
UAI
Carlos Guestrin, Milos Hauskrecht, Branislav Kveton
2003 J jnl
Efficient Solution Algorithms for Factored MDPs.
J. Artif. Intell. Res.
Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman
2003 A* conf
Generalizing Plans to New Environments in Relational MDPs.
IJCAI
Carlos Guestrin, Daphne Koller, Chris Gearhart, Neal Kanodia
2003 — conf
Max-Margin Markov Networks.
NIPS
Benjamin Taskar, Carlos Guestrin, Daphne Koller
2003 — —
Planning under uncertainty in complex structured environments.
Carlos Guestrin
2003 J jnl
Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion.
J. Comput. Biol.
Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe, Chris Varma
2002 A* conf
Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs.
ICML
Carlos Guestrin, Relu Patrascu, Dale Schuurmans
2002 — conf
Context-Specific Multiagent Coordination and Planning with Factored MDPs.
AAAI/IAAI
Carlos Guestrin, Shobha Venkataraman, Daphne Koller
2002 A* conf
Coordinated Reinforcement Learning.
ICML
Carlos Guestrin, Michail G. Lagoudakis, Ronald Parr
2002 A conf
Distributed Planning in Hierarchical Factored MDPs.
UAI
Carlos Guestrin, Geoffrey J. Gordon
2002 — conf
Greedy Linear Value-Approximation for Factored Markov Decision Processes.
AAAI/IAAI
Relu Patrascu, Pascal Poupart, Dale Schuurmans, Craig Boutilier, Carlos Guestrin
2002 C conf
Stochastic Conformational Roadmaps for Computing Ensemble Properties of Molecular Motion.
WAFR
Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe
2002 C conf
Stochastic roadmap simulation for the study of ligand-protein interactions.
ECCB
Mehmet Serkan Apaydin, Carlos Guestrin, Chris Varma, Douglas L. Brutlag, Jean-Claude Latombe
2002 B conf
Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion.
RECOMB
Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe
2002 C conf
Using robotics to fold proteins and dock ligands.
ECCB
Douglas L. Brutlag, Mehmet Serkan Apaydin, Carlos Guestrin, David Hsu, Chris Varma, Amit Pal Singh, Jean-Claude Latombe
2001 A* conf
Max-norm Projections for Factored MDPs.
IJCAI
Carlos Guestrin, Daphne Koller, Ronald Parr
2001 — conf
Multiagent Planning with Factored MDPs.
NIPS
Carlos Guestrin, Daphne Koller, Ronald Parr
2001 A conf
Robust Combination of Local Controllers.
UAI
Carlos Guestrin, Dirk Ormoneit
2000 J jnl
Outdoor Visual Position Estimation for Planetary Rovers.
Auton. Robots
Fábio Gagliardi Cozman, Eric Krotkov, Carlos Guestrin
1998 A conf
Fast software image stabilization with color registration.
IROS
Carlos Guestrin, Fábio Gagliardi Cozman, Eric Krotkov
1998 — conf
Industrial applications of image mosaicing and stabilization.
KES (2)
Carlos Guestrin, Fábio Gagliardi Cozman, Marcelo Godoy Simões