Carlos Guestrin

Fábio Gagliardi Cozman, Carlos Guestrin, Marcelo Godoy Simões, 1998, 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111).

Exploiting correlated attributes in acquisitional query processing

Wei Hong, Samuel Madden, Carlos Guestrin, 2005, 21st International Conference on Data Engineering (ICDE'05).

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees

Arthur Gretton, Joseph Gonzalez, Carlos Guestrin, 2011, AISTATS.

PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs

Joseph Gonzalez, Carlos Guestrin, Danny Bickson, 2012, OSDI.

Distributed Parallel Inference on Large Factor Graphs pdf

David R. O'Hallaron, Carlos Guestrin, Yucheng Low, 2009, UAI.

Optimal Nonmyopic Value of Information in Graphical Models - Efficient Algorithms and Theoretical Limits

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2005, IJCAI.

Robust Combination of Local Controllers

Carlos Guestrin, Dirk Ormoneit, Carlos Guestrin, 2001, UAI.

Model-Driven Data Acquisition in Sensor Networks

Wei Hong, Samuel Madden, Joseph M. Hellerstein, 2004, VLDB.

Near-optimal sensor placements in Gaussian processes

Andreas Krause, Carlos Guestrin, Ajit Paul Singh, 2005, ICML.

Optimizing Sensing: From Water to the Web

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2009, Computer.

Fourier Theoretic Probabilistic Inference over Permutations

Leonidas J. Guibas, Carlos Guestrin, Jonathan Huang, 2009, J. Mach. Learn. Res..

Near-optimal sensor placements: maximizing information while minimizing communication cost

Andreas Krause, Jon M. Kleinberg, Anupam Gupta, 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

Programs as Black-Box Explanations pdf

Carlos Guestrin, Sameer Singh, Marco Túlio Ribeiro, 2016, ArXiv.

Using robotics to fold proteins and dock ligands

Jean-Claude Latombe, David Hsu, Carlos Guestrin, 2002, ECCB.

Simultaneous Optimization of Sensor Placements and Balanced Schedules

Andreas Krause, Ram Rajagopal, Anupam Gupta, 2011, IEEE Transactions on Automatic Control.

Distributed localization of networked cameras

Rahul Sukthankar, Carlos Guestrin, Stanislav Funiak, 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

The swarm at the edge of the cloud - A new perspective on wireless

Edward A. Lee, Alberto L. Sangiovanni-Vincentelli, David Blaauw, 2011, 2011 Symposium on VLSI Circuits - Digest of Technical Papers.

Mixed Evidence

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Learning Tree Conditional Random Fields

Joseph K. Bradley, Carlos Guestrin, Carlos Guestrin, 2010, ICML.

AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead

James A. Hendler, Michael P. Wellman, Eric Horvitz, 2010, AI Mag..

Reducing Data Loading Bottleneck with Coarse Feature Vectors for Large Scale Learning

Carlos Guestrin, Shingo Takamatsu, Carlos Guestrin, 2014, BigMine.

Hierarchical Exploration for Accelerating Contextual Bandits

Yisong Yue, Carlos Guestrin, Sue Ann Hong, 2012, ICML.

Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion

Jean-Claude Latombe, David Hsu, Carlos Guestrin, 2003, J. Comput. Biol..

Using Probabilistic Models for Data Management in Acquisitional Environments

Samuel Madden, Carlos Guestrin, Amol Deshpande, 2005, CIDR.

Equivariant Neural Rendering pdf

Carlos Guestrin, Alex Colburn, Qi Shan, 2020, ICML.

Distributed Planning in Hierarchical Factored MDPs pdf

Geoffrey J. Gordon, Carlos Guestrin, Carlos Guestrin, 2002, UAI.

Coordinated Reinforcement Learning

Michail G. Lagoudakis, Carlos Guestrin, Ronald Parr, 2002, ICML.

Model-based approximate querying in sensor networks

Wei Hong, Samuel Madden, Joseph M. Hellerstein, 2005, The VLDB Journal.

Cost-effective outbreak detection in networks

Andreas Krause, Christos Faloutsos, Jure Leskovec, 2007, KDD '07.

Outdoor Visual Position Estimation for Planetary Rovers

Eric Krotkov, Fábio Gagliardi Cozman, Carlos Guestrin, 2000, Auton. Robots.

4 Systems Perspectives into Human-Centered Machine Learning

Carlos Guestrin, 2019, MobiCom.

Information Survival Threshold in Sensor and P2P Networks

Michalis Faloutsos, Christos Faloutsos, Jure Leskovec, 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

Multivariate Data Visualization

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Representing documents through their readers

Min Xu, Emily B. Fox, Carlos Guestrin, 2013, KDD.

Efficient Planning of Informative Paths for Multiple Robots

Andreas Krause, Maxim A. Batalin, William J. Kaiser, 2006, IJCAI.

The Rise and Fall of Network Stars pdf

Carlos Guestrin, Michael Fire, 2017, ArXiv.

Scaling Up Machine Learning: Parallel Belief Propagation in Factor Graphs

Joseph E. Gonzalez, Carlos Guestrin, Yucheng Low, 2011 .

Graphical models and overlay networks for reasoning about large distributed systems

Carlos Guestrin, Stanislav Funiak, Carlos Guestrin, 2010 .

A Unified Approach to Abductive Inference

Henry Kautz, Thomas G. Dietterich, Joshua B. Tenenbaum, 2014 .

4 Perspectives in Human-Centered Machine Learning

Carlos Guestrin, 2019, KDD.

Mean Average Precision

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Divide-and-Conquer Learning by Anchoring a Conical Hull

Jeff A. Bilmes, Carlos Guestrin, Tianyi Zhou, 2014, NIPS.

Simultaneous placement and scheduling of sensors

Andreas Krause, Ram Rajagopal, Anupam Gupta, 2009, 2009 International Conference on Information Processing in Sensor Networks.

App Usage Predicts Cognitive Ability in Older Adults

Leon A. Gatys, Kayur Patel, Carlos Guestrin, 2019, CHI.

Compact Factorization of Matrices Using Generalized Round-Rank pdf

Carlos Guestrin, Sameer Singh, Pouya Pezeshkpour, 2018, ArXiv.

Model-driven Data Acquisition

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Learning to Optimize Tensor Programs

Thierry Moreau, Luis Ceze, Tianqi Chen, 2018, NeurIPS.

Model-based Querying in Sensor Networks

Samuel Madden, Carlos Guestrin, Amol Deshpande, 2009, Encyclopedia of Database Systems.

Selecting Observations against Adversarial Objectives

Andreas Krause, Anupam Gupta, Carlos Guestrin, 2007, NIPS.

Panel Discussion on Artificial Intelligence Theory and Practice: Hard Challenges and Opportunities Ahead

James A. Hendler, Henry Kautz, Eric Horvitz, 2016 .

Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion

Jean-Claude Latombe, David Hsu, Carlos Guestrin, 2002, RECOMB '02.

Focused Belief Propagation for Query-Specific Inference

Carlos Guestrin, Anton Chechetka, Carlos Guestrin, 2010, AISTATS.

Turning down the noise in the blogosphere

Dafna Shahaf, Carlos Guestrin, Gaurav Veda, 2009, KDD.

A Hardware–Software Blueprint for Flexible Deep Learning Specialization

Thierry Moreau, Luis Ceze, Arvind Krishnamurthy, 2018, IEEE Micro.

Resource-Aware Wireless Sensor-Actuator Networks

Samuel Madden, Carlos Guestrin, Amol Deshpande, 2005, IEEE Data Eng. Bull..

Efficient Solution Algorithms for Factored MDPs

Shobha Venkataraman, Carlos Guestrin, Daphne Koller, 2003, J. Artif. Intell. Res..

Metro maps of science

Dafna Shahaf, Eric Horvitz, Carlos Guestrin, 2012, KDD.

Message-Oriented Middleware (MOM)

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014

Carlos Guestrin, Sameer Singh, Ignacio Cano, 2014, TREC.

Semantically Equivalent Adversarial Rules for Debugging NLP models

Carlos Guestrin, Sameer Singh, Marco Túlio Ribeiro, 2018, ACL.

Personalized collaborative clustering

Yisong Yue, Carlos Guestrin, Chong Wang, 2014, WWW.

Optimizing Sensor Placements in Water Distribution Systems Using Submodular Function Maximization

Andreas Krause, Jure Leskovec, Jianhua Xu, 2008 .

A robust architecture for distributed inference in sensor networks

Carlos Guestrin, Jim McFadden, Mark A. Paskin, 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

Automatic Generation of Issue Maps: Structured, Interactive Outputs for Complex Information Needs

Dafna Shahaf, Carlos Guestrin, Carlos Guestrin, 2012 .

Query-Specific Learning and Inference for Probabilistic Graphical Models

Carlos Guestrin, Anton Chechetka, Carlos Guestrin, 2011 .

Anchors: High-Precision Model-Agnostic Explanations

Carlos Guestrin, Sameer Singh, Marco Túlio Ribeiro, 2018, AAAI.

Learning Everything about Anything: Webly-Supervised Visual Concept Learning

Ali Farhadi, Carlos Guestrin, Santosh Kumar Divvala, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2007, ICML '07.

Robust sensor placements at informative and communication-efficient locations

Andreas Krause, Jon M. Kleinberg, Anupam Gupta, 2011, TOSN.

Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment

Carlos Guestrin, Shuangfei Zhai, Miguel Ángel Bautista, 2019, ICML.

Parallel Coordinate Descent for L1-Regularized Loss Minimization pdf

Joseph K. Bradley, Carlos Guestrin, Danny Bickson, 2011, ICML.

Parallel and distributed systems for probabilistic reasoning

Joseph E. Gonzalez, Carlos Guestrin, Carlos Guestrin, 2012 .

Adversarial Fisher Vectors for Unsupervised Representation Learning

Carlos Guestrin, Joshua M. Susskind, Shuangfei Zhai, 2019, NeurIPS.

GraphLab: A New Framework For Parallel Machine Learning

Joseph M. Hellerstein, Joseph Gonzalez, Carlos Guestrin, 2010, UAI.

Approximating sensor network queries using in-network summaries

Joseph M. Hellerstein, Carlos Guestrin, Alexandra Meliou, 2009, 2009 International Conference on Information Processing in Sensor Networks.

Beyond keyword search: representations and models for personalization

Carlos Guestrin, Khalid El-Arini, Khalid El-Arini, 2013 .

Robust, low-cost, non-intrusive sensing and recognition of seated postures

Andreas Krause, Bilge Mutlu, Jessica K. Hodgins, 2007, UIST.

GraphGen: An FPGA Framework for Vertex-Centric Graph Computation

James C. Hoe, Yu Wang, Eriko Nurvitadhi, 2014, FCCM 2014.

Fast software image stabilization with color registration

Fabio Gagliardi Cozman, Eric Krotkov, Fábio Gagliardi Cozman, 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).

Model-Agnostic Interpretability of Machine Learning pdf

Carlos Guestrin, Sameer Singh, Marco Túlio Ribeiro, 2016, ArXiv.

Scaling Submodular Maximization via Pruned Submodularity Graphs

Jeff A. Bilmes, Yi Chang, Hua Ouyang, 2016, AISTATS.

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Carlos Guestrin, Sameer Singh, Marco Túlio Ribeiro, 2016, ArXiv.

Nonmyopic Informative Path Planning in Spatio-Temporal Models

Andreas Krause, Joseph M. Hellerstein, Carlos Guestrin, 2007, AAAI.

Optimal Value of Information in Graphical Models pdf

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2009, J. Artif. Intell. Res..

Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs

Dale Schuurmans, Carlos Guestrin, Relu Patrascu, 2002, ICML.

StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent

Tyler B. Johnson, Carlos Guestrin, Carlos Guestrin, 2017, ICML.

Set Distribution Networks: a Generative Model for Sets of Images pdf

Carlos Guestrin, Shuangfei Zhai, Miguel Angel Bautista, 2020, ArXiv.

Distributed GraphLab: A Framework for Machine Learning in the Cloud

Joseph M. Hellerstein, Joseph Gonzalez, Carlos Guestrin, 2012, Proc. VLDB Endow..

Meta Data Management System

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Information cartography

Dafna Shahaf, Jure Leskovec, Eric Horvitz, 2015, Commun. ACM.

Learning Large-Scale Conditional Random Fields

Joseph K. Bradley, Carlos Guestrin, Carlos Guestrin, 2013 .

Distributed Inference in Dynamical Systems

Rahul Sukthankar, Carlos Guestrin, Stanislav Funiak, 2006, NIPS.

The Wisdom of Multiple Guesses

Carlos Guestrin, Johan Ugander, Ryan Drapeau, 2015, EC.

Learning Hierarchical Riffle Independent Groupings from Rankings

Carlos Guestrin, Jonathan Huang, 2010, ICML.

“Why Should I Trust You?”: Explaining the Predictions of Any Classifier

Sameer Singh, Carlos Guestrin, Marco Túlio de Freitas Ribeiro, 2016, NAACL.

Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks

Andreas Krause, Christos Faloutsos, Jure Leskovec, 2008 .

Connecting the dots between news articles

Dafna Shahaf, Carlos Guestrin, 2011, IJCAI 2011.

AdaScale SGD: A User-Friendly Algorithm for Distributed Training pdf

Tyler B. Johnson, Carlos Guestrin, Pulkit Agrawal, 2020, ICML.

Solving Factored MDPs with Continuous and Discrete Variables

Milos Hauskrecht, Carlos Guestrin, Branislav Kveton, 2004, UAI.

Max-Margin Markov Networks

Ben Taskar, Carlos Guestrin, Daphne Koller, 2003, NIPS.

Efficient Principled Learning of Thin Junction Trees

Carlos Guestrin, Anton Chechetka, Carlos Guestrin, 2007, NIPS.

Raise to Speak: An Accurate, Low-power Detector for Activating Voice Assistants on Smartwatches

Brandon J. Newendorp, Carlos Guestrin, Tim Paek, 2019, KDD.

Learning structured prediction models: a large margin approach

Ben Taskar, Carlos Guestrin, Daphne Koller, 2005, ICML.

How optimized environmental sensing helps address information overload on the web

Carlos Guestrin, 2009, SensorKDD '09.

Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization

Tyler B. Johnson, Carlos Guestrin, Carlos Guestrin, 2015, ICML.

Max-norm Projections for Factored MDPs

Carlos Guestrin, Daphne Koller, Ronald Parr, 2001, IJCAI.

Riffled Independence for Efficient Inference with Partial Rankings pdf

Ashish Kapoor, Carlos Guestrin, Jonathan Huang, 2012, J. Artif. Intell. Res..

Efficient Inference for Distributions on Permutations

Leonidas J. Guibas, Carlos Guestrin, Jonathan Huang, 2007, NIPS.

Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies

Andreas Krause, Carlos Guestrin, Ajit Paul Singh, 2008, J. Mach. Learn. Res..

VTA: An Open Hardware-Software Stack for Deep Learning pdf

Thierry Moreau, Luis Ceze, Tianqi Chen, 2018, ArXiv.

Linear Submodular Bandits and their Application to Diversified Retrieval

Yisong Yue, Carlos Guestrin, Yisong Yue, 2011, NIPS.

Over-optimization of academic publishing metrics: observing Goodhart’s Law in action

Carlos Guestrin, Michael Fire, Carlos Guestrin, 2018, GigaScience.

Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization

Tyler B. Johnson, Carlos Guestrin, 2016, NIPS.

Generalizing plans to new environments in relational MDPs

Carlos Guestrin, Daphne Koller, Chris Gearhart, 2003, IJCAI 2003.

Data gathering tours in sensor networks

Wei Hong, David Chu, Joseph M. Hellerstein, 2006, IPSN.

Inference with Multivariate Heavy-Tails in Linear Models

Carlos Guestrin, Danny Bickson, 2010, NIPS.

Time Is of the Essence: Analyzing the Effect of Vertex-Joining Time on Complex Network Evolution

Carlos Guestrin, Michael Fire, Carlos Guestrin, 2016 .

AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training

Tyler B. Johnson, Carlos Guestrin, Pulkit Agrawal, 2019 .

The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms

Avi Ostfeld, Andreas Krause, Marios M. Polycarpou, 2008 .

Connecting Two (or Less) Dots: Discovering Structure in News Articles

Dafna Shahaf, Carlos Guestrin, 2012, TKDD.

Distributed regression: an efficient framework for modeling sensor network data

Samuel Madden, Carlos Guestrin, Peter Bodík, 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

Submodularity and its applications in optimized information gathering

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2011, TIST.

Data association for topic intensity tracking

Andreas Krause, Jure Leskovec, Carlos Guestrin, 2006, ICML '06.

Designing Robust and Resilient Tactical MANETs

John S. Baras, Nitin H. Vaidya, Jonathan Katz, 2014 .

Kernel Belief Propagation

Le Song, Arthur Gretton, Carlos Guestrin, 2011, AISTATS.

Stochastic Gradient Hamiltonian Monte Carlo pdf

Tianqi Chen, Emily B. Fox, Carlos Guestrin, 2014, ICML.

GraphLab: A New Parallel Framework for Machine Learning

Joseph E. Gonzalez, Joseph M. Hellerstein, Carlos Guestrin, 2010 .

Model-based Querying in Sensor Networks

Samuel Madden, Carlos Guestrin, Amol Deshpande, 2009, Encyclopedia of Database Systems.

Efficient Informative Sensing using Multiple Robots

Andreas Krause, William J. Kaiser, Carlos Guestrin, 2014, J. Artif. Intell. Res..

Intelligent light control using sensor networks

Andreas Krause, James H. Garrett, Carlos Guestrin, 2005, SenSys '05.

Connecting the dots between news articles

Dafna Shahaf, Carlos Guestrin, Carlos Guestrin, 2010, IJCAI.

Robust Sensor Placement for Detecting Adversarial Contaminations in Water Distribution Systems

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2009 .

Training Deep Nets with Sublinear Memory Cost pdf

Tianqi Chen, Bing Xu, Carlos Guestrin, 2016, ArXiv.

GraphChi: Large-Scale Graph Computation on Just a PC

Guy E. Blelloch, Carlos Guestrin, Aapo Kyrola, 2012, OSDI.

Near-optimal Nonmyopic Value of Information in Graphical Models pdf

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2005, UAI.

Multiple Query Optimization

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance pdf

Carlos Guestrin, Sameer Singh, Marco Túlio Ribeiro, 2016, ArXiv.

Uncovering the Riffled Independence Structure of Rankings pdf

Carlos Guestrin, Jonathan Huang, 2010, ArXiv.

A Metro Map Can Tell A Story, As Well As Provide Good Directions

Dafna Shahaf, Jure Leskovec, Eric Horvitz, 2016 .

Modeling Link Qualities in a Sensor Network

Purnamrita Sarkar, Jure Leskovec, Carlos Guestrin, 2005, Informatica.

Thesis Proposal Probabilistic Reasoning with Permutations: A Fourier-Theoretic Approach

Leonidas J. Guibas, Carlos Guestrin, Jonathan Huang, 2008 .

Claytronics: highly scalable communications, sensing, and actuation networks

Srinivasan Seshan, Seth Copen Goldstein, Peter Lee, 2005, SenSys '05.

Learning Thin Junction Trees via Graph Cuts

Dafna Shahaf, Carlos Guestrin, 2009, AISTATS.

Efficient Second-Order Gradient Boosting for Conditional Random Fields

Ben Taskar, Tianqi Chen, Carlos Guestrin, 2015, AISTATS.

Context-specific multiagent coordination and planning with factored MDPs

Shobha Venkataraman, Carlos Guestrin, Daphne Koller, 2002, AAAI/IAAI.

GraphLab: A Distributed Framework for Machine Learning in the Cloud pdf

Joseph Gonzalez, Carlos Guestrin, Danny Bickson, 2011, ArXiv.

Stochastic Conformational Roadmaps for Computing Ensemble Properties of Molecular Motion

Jean-Claude Latombe, David Hsu, Carlos Guestrin, 2002, WAFR.

Usability in machine learning at scale with graphlab

Carlos Guestrin, 2013, CIKM.

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList

Sameer Singh, Carlos Guestrin, Tongshuang Wu, 2020, ACL.

Trains of thought: generating information maps

Dafna Shahaf, Eric Horvitz, Carlos Guestrin, 2012, WWW.

"Metro maps of information" by Dafna Shahaf, Carlos Guestrin and Eric Horvitz, with Ching-man Au Yeung as coordinator

Dafna Shahaf, Eric Horvitz, Carlos Guestrin, 2013, SIGWEB Newsl..

Multiple Classifier System

Cesare Pautasso, Umberto Straccia, Heiko Schuldt, 2009, Encyclopedia of Database Systems.

Concept Modeling with Superwords pdf

Emily B. Fox, Carlos Guestrin, Khalid El-Arini, 2012, ArXiv.

A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems pdf

Tyler B. Johnson, Carlos Guestrin, Carlos Guestrin, 2018, ArXiv.

Near-optimal Observation Selection using Submodular Functions

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2007, AAAI.

Exploiting Submodularity to Tame Information Overload

Carlos Guestrin, Carlos Guestrin, 2012 .

Linear Characteristic Graphical Models: Representation, Inference and Applications pdf

Carlos Guestrin, Danny Bickson, 2010, ArXiv.

Multiresolution Cube Estimators for Sensor Network Aggregate Queries pdf

Joseph M. Hellerstein, Carlos Guestrin, Alexandra Meliou, 2010, AMW.

GraphGen: An FPGA Framework for Vertex-Centric Graph Computation

James C. Hoe, Eriko Nurvitadhi, Gabriel Weisz, 2014, 2014 IEEE 22nd Annual International Symposium on Field-Programmable Custom Computing Machines.

Riffled Independence for Ranked Data

Carlos Guestrin, Jonathan Huang, 2009, NIPS.

Robust Probabilistic Inference in Distributed Systems

Carlos Guestrin, Mark A. Paskin, Carlos Guestrin, 2004, UAI.

Parallel Splash Belief Propagation

Joseph E. Gonzalez, Carlos Guestrin, Yucheng Low, 2010 .

Nonparametric Tree Graphical Models

Le Song, Arthur Gretton, Carlos Guestrin, 2010, AISTATS.

The Rise and Fall of Network Stars

Carlos Guestrin, Michael Fire, Carlos Guestrin, 2017, Inf. Process. Manag..

Are Red Roses Red? Evaluating Consistency of Question-Answering Models

Sameer Singh, Carlos Guestrin, Marco Túlio de Freitas Ribeiro, 2019, ACL.

Efficient Probabilistic Inference with Partial Ranking Queries

Ashish Kapoor, Carlos Guestrin, Jonathan Huang, 2011, UAI.

Distributed inference with declarative overlay networks

Joseph M. Hellerstein, Carlos Guestrin, Stanislav Funiak, 2008 .

Multiagent Planning with Factored MDPs

Carlos Guestrin, Daphne Koller, Ronald Parr, 2001, NIPS.

Optimizing sensing: theory and applications

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2008 .

Residual Splash for Optimally Parallelizing Belief Propagation

Joseph Gonzalez, Carlos Guestrin, Yucheng Low, 2009, AISTATS.

XGBoost: A Scalable Tree Boosting System

Tianqi Chen, Carlos Guestrin, Carlos Guestrin, 2016, KDD.

Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract)

Carlos Guestrin, Marco Túlio Ribeiro, Sameer Singh, 2021, IJCAI.

Learning Neural Network Subspaces pdf

Ali Farhadi, Carlos Guestrin, Mitchell Wortsman, 2021, ICML.

Metro Maps of Information

Dafna Shahaf, Carlos Guestrin, Carlos Guestrin, 2013 .

Equivariant Neural Rendering pdf

Carlos Guestrin, Alex Colburn, Qi Shan, 2020, ICML.

Probabilistic reasoning and learning on permutations: exploiting structural decompositions of the symmetric group

Carlos Guestrin, Carlos Guestrin, Jonathan Huang, 2011 .

Placement , Coordination and Tasking of Static and Mobile Sensor Networks

Carlos Guestrin, 2006 .