Fast software image stabilization with color registration. - Carlos Guestrin; Fábio Gagliardi Cozman; Eric Krotkov (IROS, 1998)

Industrial applications of image mosaicing and stabilization. - Carlos Guestrin; Fábio Gagliardi Cozman; Marcelo Godoy Simões (KES (2), 1998)

Outdoor Visual Position Estimation for Planetary Rovers. - Fábio Gagliardi Cozman; Eric Krotkov; Carlos Guestrin (Auton. Robots, 2000)

Max-norm Projections for Factored MDPs. - Carlos Guestrin; Daphne Koller; Ronald Parr (IJCAI, 2001)

Multiagent Planning with Factored MDPs. - Carlos Guestrin; Daphne Koller; Ronald Parr (NIPS, 2001)

Robust Combination of Local Controllers. - Carlos Guestrin; Dirk Ormoneit (UAI, 2001)

Context-Specific Multiagent Coordination and Planning with Factored MDPs. - Carlos Guestrin; Shobha Venkataraman; Daphne Koller (AAAI/IAAI, 2002)

Greedy Linear Value-Approximation for Factored Markov Decision Processes. - Relu Patrascu; Pascal Poupart; Dale Schuurmans; Craig Boutilier; Carlos Guestrin (AAAI/IAAI, 2002)

Stochastic roadmap simulation for the study of ligand-protein interactions. - Mehmet Serkan Apaydin; Carlos Guestrin; Chris Varma; Douglas L. Brutlag; Jean-Claude Latombe (ECCB, 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 (ECCB, 2002)

Coordinated Reinforcement Learning. - Carlos Guestrin; Michail G. Lagoudakis; Ronald Parr (ICML, 2002)

Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs. - Carlos Guestrin; Relu Patrascu; Dale Schuurmans (ICML, 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 (RECOMB, 2002)

Distributed Planning in Hierarchical Factored MDPs. - Carlos Guestrin; Geoffrey J. Gordon (UAI, 2002)

Stochastic Conformational Roadmaps for Computing Ensemble Properties of Molecular Motion. - Mehmet Serkan Apaydin; Douglas L. Brutlag; Carlos Guestrin; David Hsu; Jean-Claude Latombe (WAFR, 2002)

Generalizing Plans to New Environments in Relational MDPs. - Carlos Guestrin; Daphne Koller; Chris Gearhart; Neal Kanodia (IJCAI, 2003)

Max-Margin Markov Networks. - Benjamin Taskar; Carlos Guestrin; Daphne Koller (NIPS, 2003)

Efficient Solution Algorithms for Factored MDPs. - Carlos Guestrin; Daphne Koller; Ronald Parr; Shobha Venkataraman (J. Artif. Intell. Res., 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)

Planning under uncertainty in complex structured environments. - Carlos Guestrin (2003)

Distributed regression: an efficient framework for modeling sensor network data. - Carlos Guestrin; Peter Bodík; Romain Thibaux; Mark A. Paskin; Samuel Madden 001 (IPSN, 2004)

Solving Factored MDPs with Continuous and Discrete Variables. - Carlos Guestrin; Milos Hauskrecht; Branislav Kveton (UAI, 2004)

Robust Probabilistic Inference in Distributed Systems. - Mark A. Paskin; Carlos Guestrin (UAI, 2004)

Model-Driven Data Acquisition in Sensor Networks. - Amol Deshpande; Carlos Guestrin; Samuel Madden 001; Joseph M. Hellerstein; Wei Hong 001 (VLDB, 2004)

Using Probabilistic Models for Data Management in Acquisitional Environments. - Amol Deshpande; Carlos Guestrin; Samuel Madden 001 (CIDR, 2005)

Exploiting Correlated Attributes in Acquisitional Query Processing. - Amol Deshpande; Carlos Guestrin; Wei Hong 001; Samuel Madden 001 (ICDE, 2005)

Near-optimal sensor placements in Gaussian processes. - Carlos Guestrin; Andreas Krause 001; Ajit Paul Singh (ICML, 2005)

Learning structured prediction models: a large margin approach. - Benjamin Taskar; Vassil Chatalbashev; Daphne Koller; Carlos Guestrin (ICML, 2005)

Optimal Nonmyopic Value of Information in Graphical Models - Efficient Algorithms and Theoretical Limits. - Andreas Krause 001; Carlos Guestrin (IJCAI, 2005)

Concurrent Hierarchical Reinforcement Learning. - Bhaskara Marthi; Stuart Russell 001; David Latham; Carlos Guestrin (IJCAI, 2005)

A robust architecture for distributed inference in sensor networks. - Mark A. Paskin; Carlos Guestrin; Jim McFadden (IPSN, 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 003; Casey Helfrich; James F. Hoburg; Brian T. Kirby; et al. (SenSys, 2005)

Intelligent light control using sensor networks. - Vipul Singhvi; Andreas Krause 001; Carlos Guestrin; James H. Garrett Jr.; H. Scott Matthews (SenSys, 2005)

Near-optimal Nonmyopic Value of Information in Graphical Models. - Andreas Krause 001; Carlos Guestrin (UAI, 2005)

Resource-Aware Wireless Sensor-Actuator Networks. - Amol Deshpande; Carlos Guestrin; Samuel Madden 001 (IEEE Data Eng. Bull., 2005)

Modeling Link Qualities in a Sensor Network. - Jure Leskovec; Purnamrita Sarkar; Carlos Guestrin (Informatica (Slovenia), 2005)

Model-based approximate querying in sensor networks. - Amol Deshpande; Carlos Guestrin; Samuel Madden 001; Joseph M. Hellerstein; Wei Hong 001 (VLDB J., 2005)

Data association for topic intensity tracking. - Andreas Krause 001; Jure Leskovec; Carlos Guestrin (ICML, 2006)

Distributed localization of networked cameras. - Stanislav Funiak; Carlos Guestrin; Mark A. Paskin; Rahul Sukthankar (IPSN, 2006)

Near-optimal sensor placements: maximizing information while minimizing communication cost. - Andreas Krause 001; Carlos Guestrin; Anupam Gupta 001; Jon M. Kleinberg (IPSN, 2006)

Data gathering tours in sensor networks. - Alexandra Meliou; David Chu; Joseph M. Hellerstein; Carlos Guestrin; Wei Hong 001 (IPSN, 2006)

Distributed Inference in Dynamical Systems. - Stanislav Funiak; Carlos Guestrin; Mark A. Paskin; Rahul Sukthankar (NIPS, 2006)

Solving Factored MDPs with Hybrid State and Action Variables. - Branislav Kveton; Milos Hauskrecht; Carlos Guestrin (J. Artif. Intell. Res., 2006)

Near-optimal Observation Selection using Submodular Functions. - Andreas Krause 001; Carlos Guestrin (AAAI, 2007)

Nonmyopic Informative Path Planning in Spatio-Temporal Models. - Alexandra Meliou; Andreas Krause 001; Carlos Guestrin; Joseph M. Hellerstein (AAAI, 2007)

Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach. - Andreas Krause 001; Carlos Guestrin (ICML, 2007)

Efficient Planning of Informative Paths for Multiple Robots. - Amarjeet Singh 001; Andreas Krause 001; Carlos Guestrin; William J. Kaiser; Maxim A. Batalin (IJCAI, 2007)

Information Survival Threshold in Sensor and P2P Networks. - Deepayan Chakrabarti; Jure Leskovec; Christos Faloutsos; Samuel Madden 001; Carlos Guestrin; Michalis Faloutsos (INFOCOM, 2007)

Cost-effective outbreak detection in networks. - Jure Leskovec; Andreas Krause 001; Carlos Guestrin; Christos Faloutsos; Jeanne M. VanBriesen; Natalie S. Glance (KDD, 2007)

Efficient Principled Learning of Thin Junction Trees. - Anton Chechetka; Carlos Guestrin (NIPS, 2007)

Efficient Inference for Distributions on Permutations. - Jonathan Huang; Carlos Guestrin; Leonidas J. Guibas (NIPS, 2007)

Selecting Observations against Adversarial Objectives. - Andreas Krause 001; H. Brendan McMahan; Carlos Guestrin; Anupam Gupta 001 (NIPS, 2007)

Robust, low-cost, non-intrusive sensing and recognition of seated postures. - Bilge Mutlu; Andreas Krause 001; Jodi Forlizzi; Carlos Guestrin; Jessica K. Hodgins (UIST, 2007)

Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies. - Andreas Krause 001; Ajit Paul Singh; Carlos Guestrin (J. Mach. Learn. Res., 2008)

Simultaneous placement and scheduling of sensors. - Andreas Krause 001; Ram Rajagopal; Anupam Gupta 001; Carlos Guestrin (IPSN, 2009)

Approximating sensor network queries using in-network summaries. - Alexandra Meliou; Carlos Guestrin; Joseph M. Hellerstein (IPSN, 2009)

Turning down the noise in the blogosphere. - Khalid El-Arini; Gaurav Veda; Dafna Shahaf; Carlos Guestrin (KDD, 2009)

How optimized environmental sensing helps address information overload on the web. - Carlos Guestrin (KDD Workshop on Knowledge Discovery from Sensor Data, 2009)

Riffled Independence for Ranked Data. - Jonathan Huang; Carlos Guestrin (NIPS, 2009)

Distributed Parallel Inference on Large Factor Graphs. - Joseph Gonzalez 001; Yucheng Low; Carlos Guestrin; David R. O'Hallaron (UAI, 2009)

Optimizing Sensing: From Water to the Web. - Andreas Krause 001; Carlos Guestrin (Computer, 2009)

Optimal Value of Information in Graphical Models. - Andreas Krause 001; Carlos Guestrin (J. Artif. Intell. Res., 2009)

Efficient Informative Sensing using Multiple Robots. - Amarjeet Singh 001; Andreas Krause 001; Carlos Guestrin; William J. Kaiser (J. Artif. Intell. Res., 2009)

Residual Splash for Optimally Parallelizing Belief Propagation. - Joseph Gonzalez 001; Yucheng Low; Carlos Guestrin (AISTATS, 2009)

Fourier Theoretic Probabilistic Inference over Permutations. - Jonathan Huang; Carlos Guestrin; Leonidas J. Guibas (J. Mach. Learn. Res., 2009)

Exploiting Probabilistic Independence for Permutations. - Jonathan Huang; Carlos Guestrin; Xiaoye Jiang; Leonidas J. Guibas (AISTATS, 2009)

Learning Thin Junction Trees via Graph Cuts. - Dafna Shahaf; Carlos Guestrin (AISTATS, 2009)

Model-based Querying in Sensor Networks. - Amol Deshpande; Carlos Guestrin; Samuel Madden 001 (Encyclopedia of Database Systems, 2009)

Multiresolution Cube Estimators for Sensor Network Aggregate Queries. - Alexandra Meliou; Carlos Guestrin; Joseph M. Hellerstein (AMW, 2010)

Learning Tree Conditional Random Fields. - Joseph K. Bradley; Carlos Guestrin (ICML, 2010)

Learning Hierarchical Riffle Independent Groupings from Rankings. - Jonathan Huang; Carlos Guestrin (ICML, 2010)

Connecting the dots between news articles. - Dafna Shahaf; Carlos Guestrin (KDD, 2010)

Inference with Multivariate Heavy-Tails in Linear Models. - Danny Bickson; Carlos Guestrin (NIPS, 2010)

Evidence-Specific Structures for Rich Tractable CRFs. - Anton Chechetka; Carlos Guestrin (NIPS, 2010)

GraphLab: A New Framework For Parallel Machine Learning. - Yucheng Low; Joseph Gonzalez 001; Aapo Kyrola; Danny Bickson; Carlos Guestrin; Joseph M. Hellerstein (UAI, 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)

Uncovering the Riffled Independence Structure of Rankings - Jonathan Huang; Carlos Guestrin (CoRR, 2010)

Linear Characteristic Graphical Models: Representation, Inference and Applications - Danny Bickson; Carlos Guestrin (CoRR, 2010)

Focused Belief Propagation for Query-Specific Inference. - Anton Chechetka; Carlos Guestrin (AISTATS, 2010)

Nonparametric Tree Graphical Models. - Le Song; Arthur Gretton; Carlos Guestrin (AISTATS, 2010)

Parallel Coordinate Descent for L1-Regularized Loss Minimization. - Joseph K. Bradley; Aapo Kyrola; Danny Bickson; Carlos Guestrin (ICML, 2011)

Beyond keyword search: discovering relevant scientific literature. - Khalid El-Arini; Carlos Guestrin (KDD, 2011)

Linear Submodular Bandits and their Application to Diversified Retrieval. - Yisong Yue; Carlos Guestrin (NIPS, 2011)

Efficient Probabilistic Inference with Partial Ranking Queries. - Jonathan Huang; Ashish Kapoor; Carlos Guestrin (UAI, 2011)

GraphLab: A Distributed Framework for Machine Learning in the Cloud - Yucheng Low; Joseph Gonzalez 001; Aapo Kyrola; Danny Bickson; Carlos Guestrin (CoRR, 2011)

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees. - Joseph Gonzalez 001; Yucheng Low; Arthur Gretton; Carlos Guestrin (AISTATS, 2011)

Kernel Belief Propagation. - Le Song; Arthur Gretton; Danny Bickson; Yucheng Low; Carlos Guestrin (AISTATS, 2011)

Simultaneous Optimization of Sensor Placements and Balanced Schedules. - Andreas Krause 001; Ram Rajagopal; Anupam Gupta 001; Carlos Guestrin (IEEE Trans. Autom. Control., 2011)

Submodularity and its applications in optimized information gathering. - Andreas Krause 001; Carlos Guestrin (ACM Trans. Intell. Syst. Technol., 2011)

Robust sensor placements at informative and communication-efficient locations. - Andreas Krause 001; Carlos Guestrin; Anupam Gupta 001; Jon M. Kleinberg (ACM Trans. Sens. Networks, 2011)

Hierarchical Exploration for Accelerating Contextual Bandits. - Yisong Yue; Sue Ann Hong; Carlos Guestrin (ICML, 2012)

Metro maps of science. - Dafna Shahaf; Carlos Guestrin; Eric Horvitz (KDD, 2012)

PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs. - Joseph E. Gonzalez; Yucheng Low; Haijie Gu; Danny Bickson; Carlos Guestrin (OSDI, 2012)

GraphChi: Large-Scale Graph Computation on Just a PC. - Aapo Kyrola; Guy E. Blelloch; Carlos Guestrin (OSDI, 2012)

Trains of thought: generating information maps. - Dafna Shahaf; Carlos Guestrin; Eric Horvitz (WWW, 2012)

Concept Modeling with Superwords - Khalid El-Arini; Emily B. Fox; Carlos Guestrin (CoRR, 2012)

Riffled Independence for Efficient Inference with Partial Rankings. - Jonathan Huang; Ashish Kapoor; Carlos Guestrin (J. Artif. Intell. Res., 2012)

Sample Complexity of Composite Likelihood. - Joseph K. Bradley; Carlos Guestrin (AISTATS, 2012)

Distributed GraphLab: A Framework for Machine Learning in the Cloud. - Yucheng Low; Joseph Gonzalez 001; Aapo Kyrola; Danny Bickson; Carlos Guestrin; Joseph M. Hellerstein (Proc. VLDB Endow., 2012)

Connecting Two (or Less) Dots: Discovering Structure in News Articles. - Dafna Shahaf; Carlos Guestrin (ACM Trans. Knowl. Discov. Data, 2012)

Usability in machine learning at scale with graphlab. - Carlos Guestrin (CIKM, 2013)

Representing documents through their readers. - Khalid El-Arini; Min Xu 010; Emily B. Fox; Carlos Guestrin (KDD, 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)

Learning Everything about Anything: Webly-Supervised Visual Concept Learning. - Santosh Kumar Divvala; Ali Farhadi; Carlos Guestrin (CVPR, 2014)

GraphGen: An FPGA Framework for Vertex-Centric Graph Computation. - Eriko Nurvitadhi; Gabriel Weisz; Yu Wang 110; Skand Hurkat; Marie Nguyen; James C. Hoe; José F. Martínez; Carlos Guestrin (FCCM, 2014)

Stochastic Gradient Hamiltonian Monte Carlo. - Tianqi Chen 001; Emily B. Fox; Carlos Guestrin (ICML, 2014)

Reducing Data Loading Bottleneck with Coarse Feature Vectors for Large Scale Learning. - Shingo Takamatsu; Carlos Guestrin (BigMine, 2014)

Divide-and-Conquer Learning by Anchoring a Conical Hull. - Tianyi Zhou 001; Jeff A. Bilmes; Carlos Guestrin (NIPS, 2014)

Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014. - Ignacio Cano 001; Sameer Singh 001; Carlos Guestrin (TREC, 2014)

Personalized collaborative clustering. - Yisong Yue; Chong Wang; Khalid El-Arini; Carlos Guestrin (WWW, 2014)

GraphChi-DB: Simple Design for a Scalable Graph Database System - on Just a PC. - Aapo Kyrola; Carlos Guestrin (CoRR, 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; et al. (IEEE Des. Test, 2014)

Efficient Second-Order Gradient Boosting for Conditional Random Fields. - Tianqi Chen 001; Sameer Singh 001; Ben Taskar; Carlos Guestrin (AISTATS, 2015)

Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization. - Tyler B. Johnson; Carlos Guestrin (ICML, 2015)

The Wisdom of Multiple Guesses. - Johan Ugander; Ryan Drapeau; Carlos Guestrin (EC, 2015)

Information cartography. - Dafna Shahaf; Carlos Guestrin; Eric Horvitz; Jure Leskovec (Commun. ACM, 2015)

XGBoost: A Scalable Tree Boosting System. - Tianqi Chen 001; Carlos Guestrin (KDD, 2016)

"Why Should I Trust You?": Explaining the Predictions of Any Classifier. - Marco Túlio Ribeiro; Sameer Singh 001; Carlos Guestrin (KDD, 2016)

Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization. - Tyler B. Johnson; Carlos Guestrin (NIPS, 2016)

Programs as Black-Box Explanations. - Sameer Singh 001; Marco Túlio Ribeiro; Carlos Guestrin (CoRR, 2016)

Training Deep Nets with Sublinear Memory Cost. - Tianqi Chen 001; Bing Xu; Chiyuan Zhang; Carlos Guestrin (CoRR, 2016)

Analyzing Complex Network User Arrival Patterns and Their Effect on Network Topologies. - Michael Fire; Carlos Guestrin (CoRR, 2016)

Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance. - Marco Túlio Ribeiro; Sameer Singh 001; Carlos Guestrin (CoRR, 2016)

Model-Agnostic Interpretability of Machine Learning. - Marco Túlio Ribeiro; Sameer Singh 001; Carlos Guestrin (CoRR, 2016)

Scaling Submodular Maximization via Pruned Submodularity Graphs. - Tianyi Zhou 001; Hua Ouyang; Jeff A. Bilmes; Yi Chang 001; Carlos Guestrin (AISTATS, 2017)

StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent. - Tyler B. Johnson; Carlos Guestrin (ICML, 2017)

The Rise and Fall of Network Stars. - Michael Fire; Carlos Guestrin (CoRR, 2017)

Anchors: High-Precision Model-Agnostic Explanations. - Marco Túlio Ribeiro; Sameer Singh 001; Carlos Guestrin (AAAI, 2018)

Semantically Equivalent Adversarial Rules for Debugging NLP models. - Marco Túlio Ribeiro; Sameer Singh 001; Carlos Guestrin (ACL (1), 2018)

Learning to Optimize Tensor Programs. - Tianqi Chen 001; Lianmin Zheng; Eddie Q. 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 (NeurIPS, 2018)

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. - Tianqi Chen 001; Thierry Moreau; Ziheng Jiang; Lianmin Zheng; Eddie Q. Yan; Haichen Shen; Meghan Cowan; Leyuan Wang; Yuwei Hu; Luis Ceze; Carlos Guestrin; Arvind Krishnamurthy (OSDI, 2018)

TVM: End-to-End Optimization Stack for Deep Learning. - Tianqi Chen 001; Thierry Moreau; Ziheng Jiang; Haichen Shen; Eddie Q. Yan; Leyuan Wang; Yuwei Hu; Luis Ceze; Carlos Guestrin; Arvind Krishnamurthy (CoRR, 2018)

Compact Factorization of Matrices Using Generalized Round-Rank. - Pouya Pezeshkpour; Carlos Guestrin; Sameer Singh 001 (CoRR, 2018)

VTA: An Open Hardware-Software Stack for Deep Learning. - Thierry Moreau; Tianqi Chen 001; Ziheng Jiang; Luis Ceze; Carlos Guestrin; Arvind Krishnamurthy (CoRR, 2018)

A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems. - Tyler B. Johnson; Carlos Guestrin (CoRR, 2018)

Over-Optimization of Academic Publishing Metrics: Observing Goodhart's Law in Action. - Michael Fire; Carlos Guestrin (CoRR, 2018)

Model-Based Querying in Sensor Networks. - Amol Deshpande; Carlos Guestrin; Samuel Madden 001 (Encyclopedia of Database Systems (2nd ed.), 2018)

Are Red Roses Red? Evaluating Consistency of Question-Answering Models. - Marco Túlio Ribeiro; Carlos Guestrin; Sameer Singh 001 (ACL (1), 2019)

App Usage Predicts Cognitive Ability in Older Adults. - Mitchell L. Gordon; Leon A. Gatys; Carlos Guestrin; Jeffrey P. Bigham; Andrew Trister; Kayur Patel (CHI, 2019)

Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. - Chen Huang 001; Shuangfei Zhai; Walter Talbott; Miguel Ángel Bautista 001; Shih-Yu Sun; Carlos Guestrin; Joshua M. Susskind (ICML, 2019)

4 Perspectives in Human-Centered Machine Learning. - Carlos Guestrin (KDD, 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; et al. (KDD, 2019)

4 Systems Perspectives into Human-Centered Machine Learning. - Carlos Guestrin (MobiCom, 2019)

Adversarial Fisher Vectors for Unsupervised Representation Learning. - Shuangfei Zhai; Walter Talbott; Carlos Guestrin; Joshua M. Susskind (NeurIPS, 2019)

A Hardware-Software Blueprint for Flexible Deep Learning Specialization. - Thierry Moreau; Tianqi Chen 001; Luis Vega; Jared Roesch; Eddie Q. Yan; Lianmin Zheng; Josh Fromm; Ziheng Jiang; Luis Ceze; Carlos Guestrin; Arvind Krishnamurthy (IEEE Micro, 2019)

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. - Marco Túlio Ribeiro; Tongshuang Wu; Carlos Guestrin; Sameer Singh 001 (ACL, 2020)

AdaScale SGD: A User-Friendly Algorithm for Distributed Training. - Tyler B. Johnson; Pulkit Agrawal 002; Haijie Gu; Carlos Guestrin (ICML, 2020)

Equivariant Neural Rendering. - Emilien Dupont; Miguel Ángel Bautista 001; Alex Colburn; Aditya Sankar; Carlos Guestrin; Josh M. Susskind; Qi Shan (CoRR, 2020)

Set Distribution Networks: a Generative Model for Sets of Images. - Shuangfei Zhai; Walter Talbott; Miguel Ángel Bautista 001; Carlos Guestrin; Josh M. Susskind (CoRR, 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)

Learning Neural Network Subspaces. - Mitchell Wortsman; Maxwell Horton; Carlos Guestrin; Ali Farhadi; Mohammad Rastegari (ICML, 2021)

Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract). - Marco Túlio Ribeiro; Tongshuang Wu; Carlos Guestrin; Sameer Singh 001 (IJCAI, 2021)

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 Yüksekgönül; Linjun Zhang; James Y. Zou; Carlos Guestrin (NeurIPS, 2023)

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. - Yann Dubois; Xuechen Li 005; Rohan Taori; Tianyi Zhang; Ishaan Gulrajani; Jimmy Ba; Carlos Guestrin; Percy Liang; Tatsunori B. Hashimoto (CoRR, 2023)

Learning to (Learn at Test Time). - Yu Sun 020; Xinhao Li; Karan Dalal; Chloe Hsu; Sanmi Koyejo; Carlos Guestrin; Xiaolong Wang 004; Tatsunori Hashimoto; Xinlei Chen (CoRR, 2023)

Post-Hoc Reversal: Are We Selecting Models Prematurely? - Rishabh Ranjan; Saurabh Garg; Mrigank Raman; Carlos Guestrin; Zachary C. Lipton (NeurIPS, 2024)

Unifying Corroborative and Contributive Attributions in Large Language Models. - Theodora Worledge; Judy Hanwen Shen; Nicole Meister; Caleb Winston; Carlos Guestrin (SaTML, 2024)

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. - Daniel Kang; Xuechen Li 005; Ion Stoica; Carlos Guestrin; Matei Zaharia; Tatsunori Hashimoto (SP (Workshops), 2024)

TextGrad: Automatic "Differentiation" via Text. - Mert Yüksekgönül; Federico Bianchi 001; Joseph Boen; Sheng Liu; Zhi Huang; Carlos Guestrin; James Zou 001 (CoRR, 2024)

Learning to (Learn at Test Time): RNNs with Expressive Hidden States. - Yu Sun 020; Xinhao Li; Karan Dalal; Jiarui Xu; Arjun Vikram; Genghan Zhang; Yann Dubois; Xinlei Chen; Xiaolong Wang 004; Sanmi Koyejo; Tatsunori Hashimoto; Carlos Guestrin (CoRR, 2024)

LOTUS: Enabling Semantic Queries with LLMs Over Tables of Unstructured and Structured Data. - Liana Patel; Siddharth Jha; Carlos Guestrin; Matei Zaharia (CoRR, 2024)

Text2SQL is Not Enough: Unifying AI and Databases with TAG. - Asim Biswal; Liana Patel; Siddarth Jha; Amog Kamsetty; Shu Liu; Joseph E. Gonzalez; Carlos Guestrin; Matei Zaharia (CoRR, 2024)

The Extractive-Abstractive Spectrum: Uncovering Verifiability Trade-offs in LLM Generations. - Theodora Worledge; Tatsunori Hashimoto; Carlos Guestrin (CoRR, 2024)

MoSH: Modeling Multi-Objective Tradeoffs with Soft and Hard Bounds. - Edward Chen; Natalie Dullerud; Thomas Niedermayr; Elizabeth Kidd; Ransalu Senanayake; Pang Wei Koh; Sanmi Koyejo; Carlos Guestrin (CoRR, 2024)

Obfuscated Activations Bypass LLM Latent-Space Defenses. - Luke Bailey; Alex Serrano; Abhay Sheshadri; Mikhail Seleznyov; Jordan Taylor; Erik Jenner; Jacob Hilton; Stephen Casper; Carlos Guestrin; Scott Emmons (CoRR, 2024)

ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data. - Liana Patel; Peter Kraft; Carlos Guestrin; Matei Zaharia (Proc. ACM Manag. Data, 2024)

Model Equality Testing: Which Model is this API Serving? - Irena Gao; Percy Liang; Carlos Guestrin (ICLR, 2025)

Benchmarking Distributional Alignment of Large Language Models. - Nicole Meister; Carlos Guestrin; Tatsunori Hashimoto (NAACL (Long Papers), 2025)

Optimizing generative AI by backpropagating language model feedback. - Mert Yüksekgönül; Federico Bianchi 001; Joseph Boen; Sheng Liu; Pan Lu; Zhi Huang; Carlos Guestrin; James Zou 001 (Nat., 2025)

One-Minute Video Generation with Test-Time Training. - Karan Dalal; Daniel Koceja; Gashon Hussein; Jiarui Xu; Yue Zhao 006; Youjin Song; Shihao Han; Ka Chun Cheung; Jan Kautz; Carlos Guestrin; Tatsunori Hashimoto; Sanmi Koyejo; et al. (CoRR, 2025)

Societal Impacts Research Requires Benchmarks for Creative Composition Tasks. - Judy Hanwen Shen; Carlos Guestrin (CoRR, 2025)

metaTextGrad: Automatically optimizing language model optimizers. - Guowei Xu; Mert Yüksekgönül; Carlos Guestrin; James Y. Zou (CoRR, 2025)

Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds. - Edward Chen; Sang T. Truong; Natalie Dullerud; Sanmi Koyejo; Carlos Guestrin (CoRR, 2025)