Guestrin, Carlos

82 publications

ICML 2025 Learning to (Learn at Test Time): RNNs with Expressive Hidden States Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin
ICLR 2025 Model Equality Testing: Which Model Is This API Serving? Irena Gao, Percy Liang, Carlos Guestrin
ICLRW 2025 Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds Edward Chen, Sang T. Truong, Natalie Dullerud, Sanmi Koyejo, Carlos Guestrin
ICLRW 2025 Societal Impacts Research Requires Benchmarks for Creative Composition Tasks Judy Hanwen Shen, Carlos Guestrin
NeurIPS 2025 metaTextGrad: Automatically Optimizing Language Model Optimizers Guowei Xu, Mert Yuksekgonul, Carlos Guestrin, James Zou
NeurIPS 2024 Post-Hoc Reversal: Are We Selecting Models Prematurely? Rishabh Ranjan, Saurabh Garg, Mrigank Raman, Carlos Guestrin, Zachary Lipton
NeurIPSW 2024 metaTextGrad: Learning to Learn with Language Models as Optimizers Guowei Xu, Mert Yuksekgonul, Carlos Guestrin, James Zou
NeurIPS 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
NeurIPS 2023 Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul, Linjun Zhang, James Y Zou, Carlos Guestrin
ICMLW 2023 Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul, Linjun Zhang, James Zou, Carlos Guestrin
ICLRW 2023 Beyond Confidence: Reliable Models Should Also Quantify Atypicality Mert Yuksekgonul, Linjun Zhang, James Zou, Carlos Guestrin
ICMLW 2023 Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto
IJCAI 2021 Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract) Marco TĂșlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
ICML 2021 Learning Neural Network Subspaces Mitchell Wortsman, Maxwell C Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
ICML 2020 AdaScale SGD: A User-Friendly Algorithm for Distributed Training Tyler Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin
ICML 2019 Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Bautista Martin, Shih-Yu Sun, Carlos Guestrin, Josh Susskind
NeurIPS 2019 Adversarial Fisher Vectors for Unsupervised Representation Learning Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua Susskind
AAAI 2018 Anchors: High-Precision Model-Agnostic Explanations Marco TĂșlio Ribeiro, Sameer Singh, Carlos Guestrin
NeurIPS 2018 Learning to Optimize Tensor Programs Tianqi Chen, Lianmin Zheng, Eddie Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
NeurIPS 2018 Training Deep Models Faster with Robust, Approximate Importance Sampling Tyler B Johnson, Carlos Guestrin
AISTATS 2017 Scaling Submodular Maximization via Pruned Submodularity Graphs Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin
ICML 2017 StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent Tyler B. Johnson, Carlos Guestrin
NeurIPS 2016 Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization Tyler B Johnson, Carlos Guestrin
ICML 2015 Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization Tyler Johnson, Carlos Guestrin
AISTATS 2015 Efficient Second-Order Gradient Boosting for Conditional Random Fields Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin
NeurIPS 2014 Divide-and-Conquer Learning by Anchoring a Conical Hull Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin
CVPR 2014 Learning Everything About Anything: Webly-Supervised Visual Concept Learning Santosh K. Divvala, Ali Farhadi, Carlos Guestrin
ICML 2014 Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen, Emily Fox, Carlos Guestrin
ICML 2012 Hierarchical Exploration for Accelerating Contextual Bandits Yisong Yue, Sue Ann Hong, Carlos Guestrin
JAIR 2012 Riffled Independence for Efficient Inference with Partial Rankings Jonathan Huang, Ashish Kapoor, Carlos Guestrin
AISTATS 2012 Sample Complexity of Composite Likelihood Joseph Bradley, Carlos Guestrin
IJCAI 2011 Connecting the Dots Between News Articles Dafna Shahaf, Carlos Guestrin
UAI 2011 Efficient Probabilistic Inference with Partial Ranking Queries Jonathan Huang, Ashish Kapoor, Carlos Guestrin
AISTATS 2011 Kernel Belief Propagation Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin
NeurIPS 2011 Linear Submodular Bandits and Their Application to Diversified Retrieval Yisong Yue, Carlos Guestrin
ICML 2011 Parallel Coordinate Descent for L1-Regularized Loss Minimization Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin
AISTATS 2011 Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin
NeurIPS 2010 Evidence-Specific Structures for Rich Tractable CRFs Anton Chechetka, Carlos Guestrin
AISTATS 2010 Focused Belief Propagation for Query-Specific Inference Anton Chechetka, Carlos Guestrin
UAI 2010 GraphLab: A New Framework for Parallel Machine Learning Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
NeurIPS 2010 Inference with Multivariate Heavy-Tails in Linear Models Danny Bickson, Carlos Guestrin
ICML 2010 Learning Hierarchical Riffle Independent Groupings from Rankings Jonathan Huang, Carlos Guestrin
ICML 2010 Learning Tree Conditional Random Fields Joseph K. Bradley, Carlos Guestrin
AISTATS 2010 Nonparametric Tree Graphical Models Le Song, Arthur Gretton, Carlos Guestrin
UAI 2009 Distributed Parallel Inference on Large Factor Graphs Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron
JAIR 2009 Efficient Informative Sensing Using Multiple Robots Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser
AISTATS 2009 Exploiting Probabilistic Independence for Permutations Jonathan Huang, Carlos Guestrin, Xiaoye Jiang, Leonidas Guibas
JMLR 2009 Fourier Theoretic Probabilistic Inference over Permutations Jonathan Huang, Carlos Guestrin, Leonidas Guibas
AISTATS 2009 Learning Thin Junction Trees via Graph Cuts Shahaf Dafna, Carlos Guestrin
JAIR 2009 Optimal Value of Information in Graphical Models Andreas Krause, Carlos Guestrin
AISTATS 2009 Residual Splash for Optimally Parallelizing Belief Propagation Joseph Gonzalez, Yucheng Low, Carlos Guestrin
NeurIPS 2009 Riffled Independence for Ranked Data Jonathan Huang, Carlos Guestrin
JMLR 2008 Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies Andreas Krause, Ajit Singh, Carlos Guestrin
JMLR 2008 Robust Submodular Observation Selection Andreas Krause, H. Brendan McMahan, Carlos Guestrin, Anupam Gupta
NeurIPS 2007 Efficient Inference for Distributions on Permutations Jonathan Huang, Carlos Guestrin, Leonidas Guibas
IJCAI 2007 Efficient Planning of Informative Paths for Multiple Robots Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser, Maxim A. Batalin
NeurIPS 2007 Efficient Principled Learning of Thin Junction Trees Anton Chechetka, Carlos Guestrin
AAAI 2007 Near-Optimal Observation Selection Using Submodular Functions Andreas Krause, Carlos Guestrin
ICML 2007 Nonmyopic Active Learning of Gaussian Processes: An Exploration-Exploitation Approach Andreas Krause, Carlos Guestrin
AAAI 2007 Nonmyopic Informative Path Planning in Spatio-Temporal Models Alexandra Meliou, Andreas Krause, Carlos Guestrin, Joseph M. Hellerstein
NeurIPS 2007 Selecting Observations Against Adversarial Objectives Andreas Krause, Brendan Mcmahan, Carlos Guestrin, Anupam Gupta
ICML 2006 Data Association for Topic Intensity Tracking Andreas Krause, Jure Leskovec, Carlos Guestrin
NeurIPS 2006 Distributed Inference in Dynamical Systems Stanislav Funiak, Carlos Guestrin, Rahul Sukthankar, Mark A. Paskin
JAIR 2006 Solving Factored MDPs with Hybrid State and Action Variables Branislav Kveton, Milos Hauskrecht, Carlos Guestrin
IJCAI 2005 Concurrent Hierarchical Reinforcement Learning Bhaskara Marthi, Stuart Russell, David Latham, Carlos Guestrin
ICML 2005 Learning Structured Prediction Models: A Large Margin Approach Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin
UAI 2005 Near-Optimal Nonmyopic Value of Information in Graphical Models Andreas Krause, Carlos Guestrin
ICML 2005 Near-Optimal Sensor Placements in Gaussian Processes Carlos Guestrin, Andreas Krause, Ajit Paul Singh
IJCAI 2005 Optimal Nonmyopic Value of Information in Graphical Models - Efficient Algorithms and Theoretical Limits Andreas Krause, Carlos Guestrin
UAI 2004 Robust Probabilistic Inference in Distributed Systems Mark A. Paskin, Carlos Guestrin
UAI 2004 Solving Factored MDPs with Continuous and Discrete Variables Carlos Guestrin, Milos Hauskrecht, Branislav Kveton
JAIR 2003 Efficient Solution Algorithms for Factored MDPs Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman
IJCAI 2003 Generalizing Plans to New Environments in Relational MDPs Carlos Guestrin, Daphne Koller, Chris Gearhart, Neal Kanodia
NeurIPS 2003 Max-Margin Markov Networks Ben Taskar, Carlos Guestrin, Daphne Koller
ICML 2002 Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs Carlos Guestrin, Relu Patrascu, Dale Schuurmans
AAAI 2002 Context-Specific Multiagent Coordination and Planning with Factored MDPs Carlos Guestrin, Shobha Venkataraman, Daphne Koller
ICML 2002 Coordinated Reinforcement Learning Carlos Guestrin, Michail G. Lagoudakis, Ronald Parr
UAI 2002 Distributed Planning in Hierarchical Factored MDPs Carlos Guestrin, Geoffrey J. Gordon
AAAI 2002 Greedy Linear Value-Approximation for Factored Markov Decision Processes Relu Patrascu, Pascal Poupart, Dale Schuurmans, Craig Boutilier, Carlos Guestrin
IJCAI 2001 Max-Norm Projections for Factored MDPs Carlos Guestrin, Daphne Koller, Ronald Parr
NeurIPS 2001 Multiagent Planning with Factored MDPs Carlos Guestrin, Daphne Koller, Ronald Parr
UAI 2001 Robust Combination of Local Controllers Carlos Guestrin, Dirk Ormoneit