Carlos Guestrin

发表

Beyond keyword search: discovering relevant scientific literature

Carlos Guestrin, Khalid El-Arini, Khalid El-Arini, 2011, KDD.

Representing documents through their readers

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

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).

Distributed GraphLab : A Framework for Machine Learning and Data Mining in the Cloud

Carlos Guestrin, Aapo Kyrola, Y. Low, 2012 .

Coordinated Reinforcement Learning

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

Nonparametric Tree Graphical Models

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

GraphLab: A New Parallel Framework for Machine Learning

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

Solving Factored POMDPs with Linear Value Functions

Ronald E. Parr, D. Koller, Carlos Guestrin, 2001 .

Distributed GraphLab: A Framework for Machine Learning in the Cloud

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

Parallel Coordinate Descent for L1-Regularized Loss Minimization pdf

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

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Haichen Shen, Thierry Moreau, Meghan Cowan, 2018, OSDI.

Max-Margin Markov Networks

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

Max-norm Projections for Factored MDPs

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

GraphLab: A New Framework For Parallel Machine Learning

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

Planning under uncertainty in complex structured environments

D. Koller, Carlos Guestrin, 2003 .

PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs

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

Generalizing plans to new environments in relational MDPs

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

Robust Submodular Observation Selection

H. B. McMahan, Carlos Guestrin, Andreas Krause, 2008 .

Learning structured prediction models: a large margin approach

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

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..

A Note on the Budgeted Maximization of Submodular Functions

Carlos Guestrin, Andreas Krause, 2005 .

Multiagent Planning with Factored MDPs

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

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees

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

Residual Splash for Optimally Parallelizing Belief Propagation

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

Distributed Parallel Inference on Large Factor Graphs pdf

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

Stochastic Gradient Hamiltonian Monte Carlo pdf

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

GraphChi: Large-Scale Graph Computation on Just a PC

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

TVM : End-to-End Compilation Stack for Deep Learning

Eddie Q. Yan, Carlos Guestrin, Tianqi Chen, 2018 .

Stoc hastic Roadma p Simulation : An Efficient Repres entation and Algorithm for Anal yzing Molecula r Motion

Carlos Guestrin, David Hsu, J. Latombe, 2002 .

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

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

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

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

Inference for Distributions over the Permutation Group

Carlos Guestrin, L. Guibas, Jonathan Huang, 2008 .

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.

Multiresolution Cube Estimators for Sensor Network Aggregate Queries pdf

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

Efficient Inference for Distributions on Permutations

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

XGBoost: A Scalable Tree Boosting System

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

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

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

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning pdf

Haichen Shen, Thierry Moreau, Luis Ceze, 2018 .

Solving Factored MDPs with Continuous and Discrete Variables

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

Model-Driven Data Acquisition in Sensor Networks

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

GraphChi-DB: Simple Design for a Scalable Graph Database System - on Just a PC pdf

Carlos Guestrin, Aapo Kyrola, Carlos Guestrin, 2014, ArXiv.

Learning to Optimize Tensor Programs

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

Nonparametric Tree Graphical Models via Kernel Embeddings

Carlos Guestrin, Le Song, A. Gretton, 2010 .

Near-optimal Nonmyopic Value of Information in Graphical Models pdf

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

Model-based approximate querying in sensor networks

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

Efficient Planning of Informative Paths for Multiple Robots

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

Distributed Planning in Hierarchical Factored MDPs pdf

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

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

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

Efficient Informative Sensing using Multiple Robots

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

Near-optimal sensor placements in Gaussian processes

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

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

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

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.

Using Probabilistic Models for Data Management in Acquisitional Environments

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

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..

Scaling Up Machine Learning: Parallel Belief Propagation in Factor Graphs

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

Context-specific multiagent coordination and planning with factored MDPs

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

Cost-effective outbreak detection in networks

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

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.

Efficient Principled Learning of Thin Junction Trees

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

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.

Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization

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

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

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

Submodularity and its applications in optimized information gathering

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

Claytronics: highly scalable communications, sensing, and actuation networks

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

Fourier Theoretic Probabilistic Inference over Permutations

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

XGBoost : Reliable Large-scale Tree Boosting System

Carlos Guestrin, Tianqi Chen, 2015 .

The Wisdom of Multiple Guesses

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

Graphical models and overlay networks for reasoning about large distributed systems

Carlos Guestrin, Stanislav Funiak, Carlos Guestrin, 2010 .

Programs as Black-Box Explanations pdf

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

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

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

Robust sensor placements at informative and communication-efficient locations

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

Intelligent light control using sensor networks

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

Uncovering the riffled independence structure of ranked data

Carlos Guestrin, Jonathan Huang, 2012 .

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.

Mobility trends provide a leading indicator of changes in SARS-CoV-2 transmission

N. Jewell, Carlos Guestrin, E. Fox, 2020, medRxiv.

Greedy linear value-approximation for factored Markov decision processes

Craig Boutilier, Dale Schuurmans, Pascal Poupart, 2002, AAAI/IAAI.

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

Dafna Shahaf, Jure Leskovec, Eric Horvitz, 2016 .

Metro Maps of Information

Dafna Shahaf, Carlos Guestrin, Carlos Guestrin, 2013 .

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

Carlos Guestrin, Carlos Guestrin, Jonathan Huang, 2011 .

Sensor Placement for Outbreak Detection in Computer Security

H. B. McMahan, Carlos Guestrin, Andreas Krause, 2007 .

Distributed GraphLab : A Framework for Machine Learning and Data Mining in the Cloud

Carlos Guestrin, Aapo Kyrola, Y. Low, 2012 .

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

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

Equivariant Neural Rendering pdf

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

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

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

AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training

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

Exploiting Submodularity to Tame Information Overload

Carlos Guestrin, Carlos Guestrin, 2012 .

Model-based Querying in Sensor Networks

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

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.

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

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

Distributed localization of networked cameras

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

A Communication Efficient Framework for Soil Moisture Monitoring using Wireless Sensor Networks

Carlos Guestrin, A. Deshpande, S. Madden, 2016 .

Query-Specific Learning and Inference for Probabilistic Graphical Models

Carlos Guestrin, Anton Chechetka, Carlos Guestrin, 2011 .

Evidence-Specific Structures for Rich Tractable CRFs

Carlos Guestrin, Anton Chechetka, Carlos Guestrin, 2010, NIPS.

Robust Sensor Placement for Detecting Adversarial Contaminations in Water Distribution Systems

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2009 .

Optimizing sensing: theory and applications

Andreas Krause, Carlos Guestrin, Carlos Guestrin, 2008 .

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

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

Training Deep Models Faster with Robust, Approximate Importance Sampling

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

Nonmyopic Informative Path Planning in Spatio-Temporal Models

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

The Rise and Fall of Network Stars

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

"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..

Resource-Aware Wireless Sensor-Actuator Networks

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

Robust Combination of Local Controllers

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

Training Deep Nets with Sublinear Memory Cost pdf

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

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList

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

Anchors: High-Precision Model-Agnostic Explanations

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

Sample Complexity of Composite Likelihood

Joseph K. Bradley, Carlos Guestrin, Carlos Guestrin, 2012, AISTATS.

Selecting Observations against Adversarial Objectives

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

Model-Agnostic Interpretability of Machine Learning pdf

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

Exploiting correlated attributes in acquisitional query processing

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

Learning Neural Network Subspaces pdf

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

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

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

Solving Factored MDPs with Hybrid State and Action Variables pdf

C. Guestrin, M. Hauskrecht, B. Kveton, 2006, J. Artif. Intell. Res..

Adversarial Fisher Vectors for Unsupervised Representation Learning

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

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

C. Guestrin, A. Krause, A. Gupta, 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

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

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

Graph Optimizer Tensor Optimizer VTA JIT Runtime VTA ISA VTA MicroArchitecture pdf

Thierry Moreau, Luis Ceze, Tianqi Chen, 2018 .

Learning Large-Scale Conditional Random Fields

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

Efficient Solution Algorithms for Factored MDPs

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

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

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

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

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

TVM: End-to-End Optimization Stack for Deep Learning

Eddie Q. Yan, Carlos Guestrin, Tianqi Chen, 2018, ArXiv.

Distributed regression: an efficient framework for modeling sensor network data

C. Guestrin, P. Bodik, R. Thibaux, 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks

Carlos Guestrin, Daniel Kang, M. Zaharia, 2023, ArXiv.

Equivariant Neural Rendering pdf

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

Semantically Equivalent Adversarial Rules for Debugging NLP models

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

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.

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

Dafna Shahaf, Carlos Guestrin, Carlos Guestrin, 2012 .

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Percy Liang, Jimmy Ba, Ishaan Gulrajani, 2023, 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.

Parallel Splash Belief Propagation

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

Beyond keyword search: representations and models for personalization

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

Parallel and distributed systems for probabilistic reasoning

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

Metro maps of science

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

Data gathering tours in sensor networks

J. Hellerstein, C. Guestrin, A. Meliou, 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

Hierarchical Exploration for Accelerating Contextual Bandits

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

Linear Submodular Bandits and their Application to Diversified Retrieval

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

Connecting the dots between news articles

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

Optimal Value of Information in Graphical Models pdf

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

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

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

Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks

Andreas Krause, Christos Faloutsos, Jure Leskovec, 2008 .

Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment

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

Stochastic roadmap simulation for the study of ligand-protein interactions

Jean-Claude Latombe, Carlos Guestrin, Mehmet Serkan Apaydin, 2002, ECCB.

Near-optimal Observation Selection using Submodular Functions

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

Beyond Confidence: Reliable Models Should Also Consider Atypicality

James Y. Zou, Carlos Guestrin, Linjun Zhang, 2023, ArXiv.

A Hardware–Software Blueprint for Flexible Deep Learning Specialization

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

Robust Probabilistic Inference in Distributed Systems

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

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Jimmy Ba, Carlos Guestrin, Percy Liang, 2023, NeurIPS.

PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs

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

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.

Usenix Association 10th Usenix Symposium on Operating Systems Design and Implementation (osdi '12) 31 Graphchi: Large-scale Graph Computation on Just a Pc

Carlos Guestrin, Aapo Kyrola, G. Blelloch, 2022 .

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

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

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

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

VTA: An Open Hardware-Software Stack for Deep Learning

Carlos Guestrin, Tianqi Chen, A. Krishnamurthy, 2018, ArXiv.

Distributed inference with declarative overlay networks

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

Analyzing Complex Network User Arrival Patterns and Their Effect on Network Topologies pdf

Carlos Guestrin, Michael Fire, Carlos Guestrin, 2016, ArXiv.

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

Carlos Guestrin, Michael Fire, Carlos Guestrin, 2016 .

Kernel Belief Propagation

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

Turning down the noise in the blogosphere

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

Learning Tree Conditional Random Fields

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

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

Marco Tulio Ribeiro, Carlos Guestrin, Sameer Singh, 2016, HLT-NAACL Demos.

PowerGraph : Distributed Graph-Parallel Computation on Natural Graphs

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

Trains of thought: generating information maps

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

Distributed localization of networked cameras

C. Guestrin, M. Paskin, R. Sukthankar, 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs

Carlos Guestrin, D. Bickson, Joseph E. Gonzalez, 2012, OSDI.

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

Marco Tulio Ribeiro, Carlos Guestrin, Sameer Singh, 2016, NAACL.

StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent

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

Learning structured prediction models: a large margin approach

D. Koller, Carlos Guestrin, B. Taskar, 2005, ICML.

Personalized collaborative clustering

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

Scaling Submodular Maximization via Pruned Submodularity Graphs

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

Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier

Marco Tulio Ribeiro, Carlos Guestrin, Sameer Singh, 2022 .

Usenix Association 10th Usenix Symposium on Operating Systems Design and Implementation (osdi '12) 31 Graphchi: Large-scale Graph Computation on Just a Pc

Carlos Guestrin, Aapo Kyrola, G. Blelloch, 2022 .

Distributed GraphLab: A Framework for Machine Learning in the Cloud

Carlos Guestrin, Aapo Kyrola, Joseph Gonzalez, 2012, Proc. VLDB Endow..

Distributed GraphLab: A Framework for Machine Learning in the Cloud

Carlos Guestrin, Aapo Kyrola, J. Hellerstein, 2012, VLDB 2012.

Focused Belief Propagation for Query-Specific Inference

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

Beyond Confidence: Reliable Models Should Also Consider Atypicality

James Y. Zou, Carlos Guestrin, Linjun Zhang, 2023, NeurIPS.

Optimizing Sensing: From Water to the Web

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

Learning Thin Junction Trees via Graph Cuts

Dafna Shahaf, Carlos Guestrin, Carlos Guestrin, 2009, AISTATS.

Optimizing Sensor Placements in Water Distribution Systems Using Submodular Function Maximization

Andreas Krause, Jure Leskovec, Jianhua Xu, 2008 .

Riffled Independence for Efficient Inference with Partial Rankings pdf

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

Uncovering the riffled independence structure of ranked data

Carlos Guestrin, Jonathan Huang, 2012 .