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Carlos Guestrin

  1. "Why Should I Trust You?": Explaining the Predictions of Any Classifier
    2016/02/16 by Marco Túlio Ribeiro, Marco Tulio Ribeiro, Ribeiro, Marco Tulio +4 · 5 voices · 719 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #cs.AI #cs.LG #stat.ML
  2. TextGrad: Automatic "Differentiation" via Text
    2024/06/11 by Mert Yuksekgonul, Mert Yüksekgönül, Yuksekgonul, Mert +12 · 3 voices · 57 citations
    Computer Science · #Natural Language Processing Techniques #Semantic Web and Ontologies #cs.AI #cs.CL #cs.LG
  3. Learning to Optimize Tensor Programs
    2018/05/21 by Tianqi Chen, Chen, Tianqi, Lianmin Zheng +14 · 1 voice · 42 citations
    Computer Science · Physics and Astronomy · #Parallel Computing and Optimization Techniques #Computational Physics and Python Applications #Model Reduction and Neural Networks
  4. Training Deep Nets with Sublinear Memory Cost
    2016/04/21 by Tianqi Chen, Bing Xu, Chen, Tianqi +5 · 1 voice · 206 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #cs.LG
  5. Learning to (Learn at Test Time): RNNs with Expressive Hidden States
    2024/07/05 by Yu Sun, Sun, Yu, Xinhao Li +22 · 1 voice · 84 citations
    Computer Science · #Topic Modeling
  6. Model-Agnostic Interpretability of Machine Learning
    2016/06/16 by Marco Túlio Ribeiro, Marco Tulio Ribeiro, Ribeiro, Marco Tulio +4 · 1 voice · 61 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #cs.LG #stat.ML
  7. Stochastic Gradient Hamiltonian Monte Carlo
    2014/02/17 by Tianqi Chen, Emily B. Fox, Chen, Tianqi +3 · 134 citations
    Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Stochastic Gradient Optimization Techniques #cs.LG #stat.ME #stat.ML
  8. TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
    2018/02/12 by Tianqi Chen, Chen, Tianqi, Thierry Moreau +22 · 1 voice · 31 citations
    Computer Science · #Parallel Computing and Optimization Techniques #Advanced Neural Network Applications #Advanced Data Storage Technologies
  9. XGBoost: A Scalable Tree Boosting System
    2016/03/09 by Tianqi Chen, Carlos Guestrin · 3 voices · 18 citations
    Computer Science · #cs.LG
  10. AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
    2023/05/22 by Yann Dubois, Xuechen Li, Dubois, Yann +15 · 139 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  11. GraphLab: A New Framework for Parallel Machine Learning
    2010/06/25 by Yucheng Low, Joseph Gonzalez, Aapo Kyrola +3 · 1 voice · 4 citations
    Computer Science · #cs.DC #cs.LG
  12. Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks
    2023/02/11 by Daniel Kang, Kang, Daniel, Xuechen Li +9 · 61 citations
    Computer Science · #Topic Modeling #Software Engineering Research #Natural Language Processing Techniques
  13. Learning to Discover at Test Time
    2026/01/22 by Mert Yuksekgonul, Daniel Koceja, Xinhao Li +8 · 3 voices · 6 citations
    Computer Science · #cs.LG #cs.AI
  14. ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data
    2024/03/07 by Liana Patel, Patel, Liana, Peter Kraft +5 · 28 citations
    Computer Science · #Machine Learning in Healthcare
  15. GraphLab: A New Framework For Parallel Machine Learning
    2014/08/09 by Yucheng Low, Low, Yucheng, Joseph E. Gonzalez +11 · 16 citations
    Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Distributed #Error Correcting Code Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC) #cs.DC #cs.LG
  16. One-Minute Video Generation with Test-Time Training
    2025/04/07 by Karan Dalal, Dalal, Karan, Gashon Hussein +26 · 55 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Human Pose and Action Recognition
  17. Equivariant Neural Rendering
    2020/06/13 by Emilien Dupont, Miguel Ángel Bautista, Miguel Angel Bautista +12 · 2 voices · 3 citations
    Computer Science · Engineering · Mathematics · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (stat.ML) #cs.CV #stat.ML
  18. Over-Optimization of Academic Publishing Metrics: Observing Goodhart's\n Law in Action
    2018/09/20 by Michael Fire, Carlos Guestrin, Fire, Michael +1 · 9 citations
    Decision Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Physical sciences #Meta-analysis and systematic reviews #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #scientometrics and bibliometrics research
  19. Text2SQL is Not Enough: Unifying AI and Databases with TAG
    2024/08/27 by Asim Biswal, A. Biswal, Liana Patel +15 · 1 voice · 19 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Databases (cs.DB) #FOS: Computer and information sciences #Semantic Web and Ontologies #cs.AI #cs.DB
  20. Reinforcement Learning via Self-Distillation
    2026/01/28 by Jonas Hübotter, Frederike Lübeck, Lejs Behric +8 · 5 voices · 17 citations
    Computer Science · #cs.LG #cs.AI
  21. Benchmarking Distributional Alignment of Large Language Models
    2024/11/08 by Nicole Meister, Carlos Guestrin, Meister, Nicole +3 · 21 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  22. Model Equality Testing: Which Model Is This API Serving?
    2024/10/26 by Irena Gao, Gao, Irena, Percy Liang +3 · 17 citations
    Computer Science · #Software Testing and Debugging Techniques #Software Reliability and Analysis Research #Software System Performance and Reliability
  23. Learning Neural Network Subspaces
    2021/02/20 by Mitchell Wortsman, Maxwell Horton, Wortsman, Mitchell +7 · 7 citations
    Computer Science · #Machine Learning and Data Classification #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning
  24. Obfuscated Activations Bypass LLM Latent-Space Defenses
    2024/12/12 by Luke Bailey, Bailey, Luke, Serrano, Alex +16 · 18 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Security and Verification in Computing
  25. Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment
    2019/05/15 by Chen Huang, Shuangfei Zhai, Huang, Chen +11 · 7 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  26. Near-optimal Nonmyopic Value of Information in Graphical Models
    2012/07/04 by Andreas Krause, Carlos Guestrin, Carlos E. Guestrin +2 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Machine Learning and Algorithms #cs.AI
  27. End-to-End Test-Time Training for Long Context
    2025/12/29 by Arnuv Tandon, Karan Dalal, Xinhao Li +11 · 5 voices · 2 citations
    Computer Science · #cs.LG
  28. Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance
    2016/11/17 by Marco Túlio Ribeiro, Ribeiro, Marco Tulio, Sameer Singh +3 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  29. Unifying Corroborative and Contributive Attributions in Large Language Models
    2023/11/20 by Theodora Worledge, Judy Hanwen Shen, Worledge, Theodora +7 · 1 voice · 2 citations
    Computer Science · Decision Sciences · #Computation and Language (cs.CL) #Data Quality and Management #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling #cs.CL
  30. Beyond Confidence: Reliable Models Should Also Consider Atypicality
    2023/05/29 by Mert Yüksekgönül, Linjun Zhang, Yuksekgonul, Mert +5 · 4 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  31. Learning to (Learn at Test Time)
    2023/10/20 by Yu Sun, Sun, Yu, Xinhao Li +15 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  32. Hierarchical Exploration for Accelerating Contextual Bandits
    2012/06/27 by Yisong Yue, Yue, Yisong, Sue Ann Hong +3 · 2 citations
    Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #cs.LG #stat.ML
  33. Scaling Submodular Maximization via Pruned Submodularity Graphs
    2016/06/01 by Tianyi Zhou, Hua Ouyang, Zhou, Tianyi +7 · 1 citation
    Computer Science · #Combinatorics (math.CO) #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
  34. Post-Hoc Reversal: Are We Selecting Models Prematurely?
    2024/04/11 by Rishabh Ranjan, Ranjan, Rishabh, Saurabh Garg +7 · 3 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  35. Concept Modeling with Superwords
    2012/04/11 by Khalid El-Arini, Emily B. Fox, El-Arini, Khalid +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CL #cs.IR #cs.LG #stat.ML
  36. A Hardware-Software Blueprint for Flexible Deep Learning Specialization
    2018/07/11 by Thierry Moreau, Tianqi Chen, Moreau, Thierry +19 · 1 voice
    Computer Science · Mathematics · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #and Cluster Computing (cs.DC) #cs.DC #cs.LG #stat.ML
  37. Outcome Rewards Do Not Guarantee Verifiable or Causally Important Reasoning
    2026/04/23 by Qinan Yu, Alexa Tartaglini, Peter Hase +2 · 2 voices
    Computer Science · #cs.CL
  38. Divide-and-Conquer Learning by Anchoring a Conical Hull
    2014/06/22 by Tianyi Zhou, Jeff Bilmes, Zhou, Tianyi +3 · 1 citation
    Computer Science · Engineering · Mathematics · #Face and Expression Recognition #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #cs.LG #stat.ML
  39. Inference with Multivariate Heavy-Tails in Linear Models
    2010/08/31 by Danny Bickson, Bickson, Danny, Carlos Guestrin +1 · 1 citation
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Information Theory (cs.IT) #Machine Learning (cs.LG) #cs.IT #cs.LG #math.IT
  40. Programs as Black-Box Explanations
    2016/11/22 by Sameer Singh, Singh, Sameer, Marco Túlio Ribeiro +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  41. Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
    2025/10/07 by Rishabh Ranjan, Ranjan, Rishabh, Valter Hudovernik +16 · 3 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Mining Algorithms and Applications #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Qualitative Comparative Analysis Research