Carlos Guestrin

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 61

Top Venues

Publications

Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin
Learning to (Learn at Test Time): RNNs with Expressive Hidden States. CoRR (2024)
Liana Patel, Siddharth Jha, Carlos Guestrin, Matei Zaharia
LOTUS: Enabling Semantic Queries with LLMs Over Tables of Unstructured and Structured Data. CoRR (2024)
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin
Unifying Corroborative and Contributive Attributions in Large Language Models. SaTML (2024)
Liana Patel, Peter Kraft, Carlos Guestrin, Matei Zaharia
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data. CoRR (2024)
Mert Yüksekgönül, Federico Bianchi, Joseph Boen, Sheng Liu, Zhi Huang, Carlos Guestrin, James Zou
TextGrad: Automatic "Differentiation" via Text. CoRR (2024)
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. SP (Workshops) (2024)
Rishabh Ranjan, Saurabh Garg, Mrigank Raman, Carlos Guestrin, Zachary Chase Lipton
Post-Hoc Reversal: Are We Selecting Models Prematurely? CoRR (2024)
Liana Patel, Peter Kraft, Carlos Guestrin, Matei Zaharia
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data. Proc. ACM Manag. Data 2 (3) (2024)
Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. CoRR (2023)
Yu Sun, Xinhao Li, Karan Dalal, Chloe Hsu, Sanmi Koyejo, Carlos Guestrin, Xiaolong Wang, Tatsunori Hashimoto, Xinlei Chen
Learning to (Learn at Test Time). CoRR (2023)
Mert Yüksekgönül, Linjun Zhang, James Zou, Carlos Guestrin
Beyond Confidence: Reliable Models Should Also Consider Atypicality. CoRR (2023)
Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. NeurIPS (2023)
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, Caleb Winston, Carlos Guestrin
Unifying Corroborative and Contributive Attributions in Large Language Models. CoRR (2023)
Mert Yüksekgönül, Linjun Zhang, James Y. Zou, Carlos Guestrin
Beyond Confidence: Reliable Models Should Also Consider Atypicality. NeurIPS (2023)
Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. CoRR (2023)
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
Learning Neural Network Subspaces. CoRR (2021)
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
Learning Neural Network Subspaces. ICML (2021)
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract). IJCAI (2021)
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
Beyond Accuracy: Behavioral Testing of NLP models with CheckList. CoRR (2020)
Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin
AdaScale SGD: A User-Friendly Algorithm for Distributed Training. ICML (2020)
Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin
AdaScale SGD: A User-Friendly Algorithm for Distributed Training. CoRR (2020)
Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind
Set Distribution Networks: a Generative Model for Sets of Images. CoRR (2020)
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. ACL (2020)
Emilien Dupont, Miguel Ángel Bautista, Alex Colburn, Aditya Sankar, Carlos Guestrin, Josh M. Susskind, Qi Shan
Equivariant Neural Rendering. CoRR (2020)
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) (2020)
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)
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)
Marco Túlio Ribeiro, Carlos Guestrin, Sameer Singh
Are Red Roses Red? Evaluating Consistency of Question-Answering Models. ACL (1) (2019)
Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind
Adversarial Fisher Vectors for Unsupervised Representation Learning. NeurIPS (2019)
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) (2019)
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)
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 (2019)
Carlos Guestrin
4 Perspectives in Human-Centered Machine Learning. KDD (2019)
Carlos Guestrin
4 Systems Perspectives into Human-Centered Machine Learning. MobiCom (2019)
Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind
Adversarial Fisher Vectors for Unsupervised Representation Learning. CoRR (2019)
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 (2018)
Pouya Pezeshkpour, Carlos Guestrin, Sameer Singh
Compact Factorization of Matrices Using Generalized Round-Rank. CoRR (2018)
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
Semantically Equivalent Adversarial Rules for Debugging NLP models. ACL (1) (2018)
Tyler B. Johnson, Carlos Guestrin
Training Deep Models Faster with Robust, Approximate Importance Sampling. NeurIPS (2018)
Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
VTA: An Open Hardware-Software Stack for Deep Learning. CoRR (2018)
Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
Learning to Optimize Tensor Programs. CoRR (2018)
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)
Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
Learning to Optimize Tensor Programs. NeurIPS (2018)
Michael Fire, Carlos Guestrin
Over-Optimization of Academic Publishing Metrics: Observing Goodhart's Law in Action. CoRR (2018)
Tyler B. Johnson, Carlos Guestrin
A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems. CoRR (2018)
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
Anchors: High-Precision Model-Agnostic Explanations. AAAI (2018)
Michael Fire, Carlos Guestrin
The Rise and Fall of Network Stars. CoRR (2017)
Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin
Scaling Submodular Maximization via Pruned Submodularity Graphs. AISTATS (2017)
Tyler B. Johnson, Carlos Guestrin
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent. ICML (2017)
Tianqi Chen, Bing Xu, Chiyuan Zhang, Carlos Guestrin
Training Deep Nets with Sublinear Memory Cost. CoRR (2016)
Michael Fire, Carlos Guestrin
Analyzing Complex Network User Arrival Patterns and Their Effect on Network Topologies. CoRR (2016)
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. CoRR (2016)
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. HLT-NAACL Demos (2016)
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance. CoRR (2016)
Tianqi Chen, Carlos Guestrin
XGBoost: A Scalable Tree Boosting System. KDD (2016)
Tianyi Zhou, Hua Ouyang, Yi Chang, Jeff A. Bilmes, Carlos Guestrin
Scaling Submodular Maximization via Pruned Submodularity Graphs. CoRR (2016)
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
Model-Agnostic Interpretability of Machine Learning. CoRR (2016)
Sameer Singh, Marco Túlio Ribeiro, Carlos Guestrin
Programs as Black-Box Explanations. CoRR (2016)
Tianqi Chen, Carlos Guestrin
XGBoost: A Scalable Tree Boosting System. CoRR (2016)
Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. KDD (2016)
Tyler B. Johnson, Carlos Guestrin
Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization. NIPS (2016)
Johan Ugander, Ryan Drapeau, Carlos Guestrin
The Wisdom of Multiple Guesses. EC (2015)
Dafna Shahaf, Carlos Guestrin, Eric Horvitz, Jure Leskovec
Information cartography. Commun. ACM 58 (11) (2015)
Tyler B. Johnson, Carlos Guestrin
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization. ICML (2015)
Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin
Efficient Second-Order Gradient Boosting for Conditional Random Fields. AISTATS (2015)
Ignacio Cano, Sameer Singh, Carlos Guestrin
Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014. TREC (2014)
Santosh Kumar Divvala, Ali Farhadi, Carlos Guestrin
Learning Everything about Anything: Webly-Supervised Visual Concept Learning. CVPR (2014)
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) (2014)
Shingo Takamatsu, Carlos Guestrin
Reducing Data Loading Bottleneck with Coarse Feature Vectors for Large Scale Learning. BigMine (2014)
Yisong Yue, Chong Wang, Khalid El-Arini, Carlos Guestrin
Personalized collaborative clustering. WWW (2014)
Jonathan Huang, Ashish Kapoor, Carlos Guestrin
Riffled Independence for Efficient Inference with Partial Rankings. CoRR (2014)
Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin
Divide-and-Conquer Learning by Anchoring a Conical Hull. CoRR (2014)
Tianqi Chen, Emily B. Fox, Carlos Guestrin
Stochastic Gradient Hamiltonian Monte Carlo. ICML (2014)
Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser
Efficient Informative Sensing using Multiple Robots. CoRR (2014)
Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
GraphLab: A New Framework For Parallel Machine Learning. CoRR (2014)
Andreas Krause, Carlos Guestrin
Optimal Value of Information in Graphical Models. CoRR (2014)
Aapo Kyrola, Carlos Guestrin
GraphChi-DB: Simple Design for a Scalable Graph Database System - on Just a PC. CoRR (2014)
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)
Tianqi Chen, Emily B. Fox, Carlos Guestrin
Stochastic Gradient Hamiltonian Monte Carlo. CoRR (2014)
Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin
Divide-and-Conquer Learning by Anchoring a Conical Hull. NIPS (2014)
Khalid El-Arini, Min Xu, Emily B. Fox, Carlos Guestrin
Representing documents through their readers. KDD (2013)
Carlos Guestrin
Usability in machine learning at scale with graphlab. CIKM (2013)
Carlos Guestrin, Geoffrey J. Gordon
Distributed Planning in Hierarchical Factored MDPs CoRR (2013)
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) (2013)
Carlos Guestrin, Dirk Ormoneit
Robust Combination of Local Controllers CoRR (2013)
Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron
Distributed Parallel Inference on Large Factor Graphs CoRR (2012)
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) (2012)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
Distributed GraphLab: A Framework for Machine Learning in the Cloud CoRR (2012)
Dafna Shahaf, Carlos Guestrin, Eric Horvitz
Metro maps of science. KDD (2012)
Khalid El-Arini, Emily B. Fox, Carlos Guestrin
Concept Modeling with Superwords CoRR (2012)
Dafna Shahaf, Carlos Guestrin
Connecting Two (or Less) Dots: Discovering Structure in News Articles. ACM Trans. Knowl. Discov. Data 5 (4) (2012)
Aapo Kyrola, Guy E. Blelloch, Carlos Guestrin
GraphChi: Large-Scale Graph Computation on Just a PC. OSDI (2012)
Andreas Krause, Carlos Guestrin
Near-optimal Nonmyopic Value of Information in Graphical Models CoRR (2012)
Jonathan Huang, Ashish Kapoor, Carlos Guestrin
Riffled Independence for Efficient Inference with Partial Rankings. J. Artif. Intell. Res. 44 (2012)
Carlos Guestrin, Milos Hauskrecht, Branislav Kveton
Solving Factored MDPs with Continuous and Discrete Variables CoRR (2012)
Joseph E. Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin
PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs. OSDI (2012)
Yisong Yue, Sue Ann Hong, Carlos Guestrin
Hierarchical Exploration for Accelerating Contextual Bandits. ICML (2012)
Joseph K. Bradley, Carlos Guestrin
Sample Complexity of Composite Likelihood. AISTATS (2012)
Dafna Shahaf, Carlos Guestrin, Eric Horvitz
Trains of thought: generating information maps. WWW (2012)
Mark A. Paskin, Carlos Guestrin
Robust Probabilistic Inference in Distributed Systems CoRR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Carlos Guestrin