C. Guestrin
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C. Guestrincomputer-science Degrees
Computer Science
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Machine Learning
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Computer Science
C. Guestrin's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science Stanford University
- Bachelors Computer Science Stanford University
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(Suggest an Edit or Addition)C. Guestrin's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- XGBoost: A Scalable Tree Boosting System (2016) (19552)
- “Why Should I Trust You?”: Explaining the Predictions of Any Classifier (2016) (10074)
- Cost-effective outbreak detection in networks (2007) (2339)
- PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs (2012) (1755)
- Max-Margin Markov Networks (2003) (1495)
- Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies (2008) (1484)
- Distributed GraphLab : A Framework for Machine Learning and Data Mining in the Cloud (2012) (1309)
- Anchors: High-Precision Model-Agnostic Explanations (2018) (1268)
- Model-Driven Data Acquisition in Sensor Networks (2004) (1267)
- GraphChi: Large-Scale Graph Computation on Just a PC (2012) (1047)
- TVM: An Automated End-to-End Optimizing Compiler for Deep Learning (2018) (987)
- GraphLab: A New Framework For Parallel Machine Learning (2010) (870)
- Distributed GraphLab: A Framework for Machine Learning in the Cloud (2012) (756)
- Stochastic Gradient Hamiltonian Monte Carlo (2014) (743)
- Beyond Accuracy: Behavioral Testing of NLP Models with CheckList (2020) (624)
- Training Deep Nets with Sublinear Memory Cost (2016) (615)
- Learning structured prediction models: a large margin approach (2005) (568)
- Model-Agnostic Interpretability of Machine Learning (2016) (555)
- The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms (2008) (548)
- Near-optimal sensor placements in Gaussian processes (2005) (517)
- Multiagent Planning with Factored MDPs (2001) (496)
- Distributed regression: an efficient framework for modeling sensor network data (2004) (494)
- Efficient Solution Algorithms for Factored MDPs (2003) (493)
- GraphLab: A New Parallel Framework for Machine Learning (2010) (472)
- Near-optimal sensor placements: maximizing information while minimizing communication cost (2006) (464)
- Near-optimal Nonmyopic Value of Information in Graphical Models (2005) (446)
- Coordinated Reinforcement Learning (2002) (402)
- Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks (2008) (399)
- Semantically Equivalent Adversarial Rules for Debugging NLP models (2018) (383)
- Near-optimal Observation Selection using Submodular Functions (2007) (337)
- Efficient Informative Sensing using Multiple Robots (2014) (331)
- Parallel Coordinate Descent for L1-Regularized Loss Minimization (2011) (316)
- Learning Everything about Anything: Webly-Supervised Visual Concept Learning (2014) (306)
- Robust Submodular Observation Selection (2008) (287)
- Intelligent light control using sensor networks (2005) (263)
- Learning to Optimize Tensor Programs (2018) (258)
- Connecting the dots between news articles (2010) (215)
- Generalizing Plans to New Environments in Relational MDPs (2003) (211)
- Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach (2007) (210)
- Efficient Planning of Informative Paths for Multiple Robots (2006) (209)
- A robust architecture for distributed inference in sensor networks (2005) (168)
- Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees (2011) (162)
- Distributed localization of networked cameras (2006) (161)
- Linear Submodular Bandits and their Application to Diversified Retrieval (2011) (160)
- TVM: End-to-End Optimization Stack for Deep Learning (2018) (159)
- A Note on the Budgeted Maximization of Submodular Functions (2005) (156)
- Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion (2002) (151)
- Turning down the noise in the blogosphere (2009) (146)
- Submodularity and its applications in optimized information gathering (2011) (144)
- Model-based approximate querying in sensor networks (2005) (143)
- Exploiting correlated attributes in acquisitional query processing (2005) (140)
- Residual Splash for Optimally Parallelizing Belief Propagation (2009) (140)
- Trains of thought: generating information maps (2012) (139)
- Context-specific multiagent coordination and planning with factored MDPs (2002) (134)
- Optimal Value of Information in Graphical Models (2009) (130)
- Max-norm Projections for Factored MDPs (2001) (128)
- Robust, low-cost, non-intrusive sensing and recognition of seated postures (2007) (125)
- Using Probabilistic Models for Data Management in Acquisitional Environments (2005) (121)
- Beyond keyword search: discovering relevant scientific literature (2011) (118)
- GraphGen: An FPGA Framework for Vertex-Centric Graph Computation (2014) (116)
- Over-optimization of academic publishing metrics: observing Goodhart’s Law in action (2018) (110)
- XGBoost : Reliable Large-scale Tree Boosting System (2015) (105)
- Robust Probabilistic Inference in Distributed Systems (2004) (103)
- Fourier Theoretic Probabilistic Inference over Permutations (2009) (102)
- Planning under uncertainty in complex structured environments (2003) (101)
- Metro maps of science (2012) (96)
- Efficient Principled Learning of Thin Junction Trees (2007) (89)
- Optimal Nonmyopic Value of Information in Graphical Models - Efficient Algorithms and Theoretical Limits (2005) (88)
- Nonmyopic Informative Path Planning in Spatio-Temporal Models (2007) (88)
- Kernel Belief Propagation (2011) (85)
- Optimizing sensing: theory and applications (2008) (82)
- Are Red Roses Red? Evaluating Consistency of Question-Answering Models (2019) (81)
- A Hardware–Software Blueprint for Flexible Deep Learning Specialization (2018) (78)
- Simultaneous placement and scheduling of sensors (2009) (76)
- Information Survival Threshold in Sensor and P2P Networks (2007) (75)
- Training Deep Models Faster with Robust, Approximate Importance Sampling (2018) (75)
- Solving Factored MDPs with Continuous and Discrete Variables (2004) (73)
- Distributed Planning in Hierarchical Factored MDPs (2002) (73)
- Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs (2002) (67)
- Distributed Parallel Inference on Large Factor Graphs (2009) (65)
- Data association for topic intensity tracking (2006) (64)
- The swarm at the edge of the cloud - A new perspective on wireless (2011) (61)
- Outdoor Visual Position Estimation for Planetary Rovers (2000) (61)
- Solving Factored POMDPs with Linear Value Functions (2001) (61)
- Resource-Aware Wireless Sensor-Actuator Networks (2005) (61)
- Simultaneous Optimization of Sensor Placements and Balanced Schedules (2011) (59)
- Solving Factored MDPs with Hybrid State and Action Variables (2006) (59)
- Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance (2016) (56)
- Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization (2015) (55)
- Robust sensor placements at informative and communication-efficient locations (2011) (55)
- Optimizing Sensing: From Water to the Web (2009) (51)
- Learning Tree Conditional Random Fields (2010) (51)
- VTA: An Open Hardware-Software Stack for Deep Learning (2018) (51)
- Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment (2019) (48)
- Nonparametric Tree Graphical Models (2010) (48)
- Data gathering tours in sensor networks (2006) (47)
- Equivariant Neural Rendering (2020) (46)
- Hierarchical Exploration for Accelerating Contextual Bandits (2012) (46)
- Optimizing Sensor Placements in Water Distribution Systems Using Submodular Function Maximization (2008) (46)
- Selecting Observations against Adversarial Objectives (2007) (46)
- Learning Thin Junction Trees via Graph Cuts (2009) (43)
- Greedy linear value-approximation for factored Markov decision processes (2002) (42)
- Connecting Two (or Less) Dots: Discovering Structure in News Articles (2012) (41)
- Efficient Inference for Distributions on Permutations (2007) (41)
- Programs as Black-Box Explanations (2016) (38)
- Mobility trends provide a leading indicator of changes in SARS-CoV-2 transmission (2020) (37)
- Learning Neural Network Subspaces (2021) (34)
- Approximating sensor network queries using in-network summaries (2009) (34)
- Stochastic roadmap simulation for the study of ligand-protein interactions (2002) (32)
- Information cartography (2015) (30)
- Riffled Independence for Ranked Data (2009) (27)
- GraphLab: A Distributed Framework for Machine Learning in the Cloud (2011) (24)
- Focused Belief Propagation for Query-Specific Inference (2010) (24)
- AdaScale SGD: A User-Friendly Algorithm for Distributed Training (2020) (22)
- Exploiting Probabilistic Independence for Permutations (2009) (21)
- App Usage Predicts Cognitive Ability in Older Adults (2019) (21)
- Riffled Independence for Efficient Inference with Partial Rankings (2012) (21)
- Efficient Second-Order Gradient Boosting for Conditional Random Fields (2015) (21)
- Distributed Inference in Dynamical Systems (2006) (20)
- Sample Complexity of Composite Likelihood (2012) (19)
- Personalized collaborative clustering (2014) (18)
- GraphChi-DB: Simple Design for a Scalable Graph Database System - on Just a PC (2014) (18)
- Representing documents through their readers (2013) (17)
- Divide-and-Conquer Learning by Anchoring a Conical Hull (2014) (17)
- Industrial applications of image mosaicing and stabilization (1998) (17)
- The rise and fall of network stars: Analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time (2017) (17)
- Robust Sensor Placement for Detecting Adversarial Contaminations in Water Distribution Systems (2009) (16)
- Stochastic Conformational Roadmaps for Computing Ensemble Properties of Molecular Motion (2002) (16)
- TVM : End-to-End Compilation Stack for Deep Learning (2018) (15)
- Fast software image stabilization with color registration (1998) (15)
- Nonparametric Tree Graphical Models via Kernel Embeddings (2010) (15)
- Claytronics: highly scalable communications, sensing, and actuation networks (2005) (15)
- Uncovering the riffled independence structure of ranked data (2012) (14)
- Learning Hierarchical Riffle Independent Groupings from Rankings (2010) (14)
- Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization (2016) (13)
- Robust Combination of Local Controllers (2001) (12)
- StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent (2017) (11)
- Modeling Link Qualities in a Sensor Network (2005) (11)
- The Wisdom of Multiple Guesses (2015) (11)
- Efficient Probabilistic Inference with Partial Ranking Queries (2011) (10)
- Inference with Multivariate Heavy-Tails in Linear Models (2010) (10)
- Metro Maps of Information (2013) (9)
- Scaling Submodular Maximization via Pruned Submodularity Graphs (2016) (9)
- Parallel Splash Belief Propagation (2010) (9)
- Probabilistic reasoning and learning on permutations: exploiting structural decompositions of the symmetric group (2011) (8)
- Adversarial Fisher Vectors for Unsupervised Representation Learning (2019) (8)
- Using robotics to fold proteins and dock ligands (2002) (8)
- Evidence-Specific Structures for Rich Tractable CRFs (2010) (7)
- Model-based Querying in Sensor Networks (2009) (7)
- Learning Large-Scale Conditional Random Fields (2013) (7)
- Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014 (2014) (5)
- A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems (2018) (5)
- Uncovering the Riffled Independence Structure of Rankings (2010) (4)
- Concept Modeling with Superwords (2012) (4)
- Scaling Up Machine Learning: Parallel Belief Propagation in Factor Graphs (2011) (4)
- Inference for Distributions over the Permutation Group (2008) (4)
- Analyzing Complex Network User Arrival Patterns and Their Effect on Network Topologies (2016) (4)
- The Rise and Fall of Network Stars (2017) (4)
- "Metro maps of information" by Dafna Shahaf, Carlos Guestrin and Eric Horvitz, with Ching-man Au Yeung as coordinator (2013) (3)
- A Metro Map Can Tell A Story, As Well As Provide Good Directions (2016) (3)
- Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks (2023) (3)
- Parallel and distributed systems for probabilistic reasoning (2012) (2)
- Compact Factorization of Matrices Using Generalized Round-Rank (2018) (2)
- Usability in machine learning at scale with graphlab (2013) (2)
- Multiresolution Cube Estimators for Sensor Network Aggregate Queries (2010) (2)
- AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training (2019) (2)
- Set Distribution Networks: a Generative Model for Sets of Images (2020) (2)
- Reducing Data Loading Bottleneck with Coarse Feature Vectors for Large Scale Learning (2014) (2)
- Time Is of the Essence: Analyzing the Effect of Vertex-Joining Time on Complex Network Evolution (2016) (2)
- 4 Systems Perspectives into Human-Centered Machine Learning (2019) (1)
- Thesis Proposal Probabilistic Reasoning with Permutations: A Fourier-Theoretic Approach (2008) (1)
- USING AUTOTVM TO AUTOMATICALLY GENERATE DEEP LEARNING LIBRARIES FOR MOBILE DEVICES (2019) (1)
- Distributed inference with declarative overlay networks (2008) (1)
- A Communication Efficient Framework for Soil Moisture Monitoring using Wireless Sensor Networks (2016) (1)
- Raise to Speak: An Accurate, Low-power Detector for Activating Voice Assistants on Smartwatches (2019) (1)
- AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead (2010) (1)
- Placement , Coordination and Tasking of Static and Mobile Sensor Networks (2006) (1)
- Stoc hastic Roadma p Simulation : An Efficient Repres entation and Algorithm for Anal yzing Molecula r Motion (2002) (1)
- Graphical Models and Overlay Networks for Reasoning about Large Distributed Systems (2010) (1)
- Beyond keyword search: representations and models for personalization (2013) (1)
- Automatic Generation of Issue Maps: Structured, Interactive Outputs for Complex Information Needs (2012) (0)
- Linear Characteristic Graphical Models: Representation, Inference and Applications (2010) (0)
- with Partial Rankings (2012) (0)
- Designing Robust and Resilient Tactical MANETs Report Title (2015) (0)
- A Unified Approach to Abductive Inference (2014) (0)
- 4 Perspectives in Human-Centered Machine Learning (2019) (0)
- Latent Session Model for Web User Clustering A case study on modeling users of an online real estate website (2013) (0)
- Exploiting Submodularity to Tame Information Overload (2012) (0)
- Query-Specific Learning and Inference for Probabilistic Graphical Models (2011) (0)
- How optimized environmental sensing helps address information overload on the web (2009) (0)
- Designing Robust and Resilient Tactical MANETs (2014) (0)
- Sensor Placement for Outbreak Detection in Computer Security (2007) (0)
- Gradient Boosting for Conditional Random Fields (2014) (0)
- Exploiting Probabilistic Independence for Permutations: Proofs (2009) (0)
- Panel Discussion on Artificial Intelligence Theory and Practice: Hard Challenges and Opportunities Ahead (2016) (0)
- Inferen e for Distributions over the PermutationGroupJonathan Huang (2008) (0)
- Âóùöòòð Óó Åå Blockinòò Äääöòòòò Êê×××ö ¿ ´¾¼¼¾µ ½¹¹¹ (2008) (0)
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