Carlos Guestrin

44 papers · 2006–2025 · 10 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🗺️ Taxonomy Completionist (34) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird

🌍 Conference Polyglot (10) 🗺️ Taxonomy Completionist (34) 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (12) 🌱 Topic Pioneer 🏆 Keyword Champion (3) 📈 Trend Setter 🔥 Unstoppable (8) 🚀 Conference Pioneer 🗃️ Keyword Collector (112) ❓ The Questioner (4) 💎 Century Club (44)

Conferences

NIPS (16) AISTATS (7) ICML (7) ACL (3) JMLR (3) OSDI (3) NAACL (2) CVPR (1) ICLR (1) IJCAI (1)

Top co-authors

Sameer Singh (6) Marco Tulio Ribeiro (4) Tianqi Chen (4) Yucheng Low (3) Danny Bickson (3) Andreas Krause (3) Jonathan Huang (3) Arthur Gretton (3) Anton Chechetka (3) Tyler Johnson (2)

Research topics

Models (1) Probability (1)

Keywords

graphical model (7) submodular optimization (4) probabilistic inference (4) probabilistic modeling (3) neural network optimization (3) belief propagation (3) sensor placement (3) model evaluation (3) conditional random field (3) exact inference (3) sentiment analysis (3) markov chain monte carlo (2) l1 regularization (2) gaussian process (2) robust optimization (2) fourier analysis (2) mutual information (2) ensemble learning (2) model calibration (2) stochastic gradient descent (2)

Papers

Learning to (Learn at Test Time): RNNs with Expressive Hidden States ICML 2025 Benchmarking Distributional Alignment of Large Language Models NAACL 2025 Model Equality Testing: Which Model is this API Serving? ICLR 2025 Post-Hoc Reversal: Are We Selecting Models Prematurely? NIPS 2024 Beyond Confidence: Reliable Models Should Also Consider Atypicality NIPS 2023 AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback NIPS 2023 Learning Neural Network Subspaces ICML 2021 Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract) IJCAI 2021 AdaScale SGD: A User-Friendly Algorithm for Distributed Training ICML 2020 Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ACL 2020 Adversarial Fisher Vectors for Unsupervised Representation Learning NIPS 2019 Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment ICML 2019 Are Red Roses Red? Evaluating Consistency of Question-Answering Models ACL 2019 TVM: An Automated End-to-End Optimizing Compiler for Deep Learning OSDI 2018 Learning to Optimize Tensor Programs NIPS 2018 Training Deep Models Faster with Robust, Approximate Importance Sampling NIPS 2018 Semantically Equivalent Adversarial Rules for Debugging NLP models ACL 2018 Scaling Submodular Maximization via Pruned Submodularity Graphs AISTATS 2017 StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent ICML 2017 Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization NIPS 2016 “Why Should I Trust You?”: Explaining the Predictions of Any Classifier NAACL 2016 Efficient Second-Order Gradient Boosting for Conditional Random Fields AISTATS 2015 Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization ICML 2015 Learning Everything about Anything: Webly-Supervised Visual Concept Learning CVPR 2014 Stochastic Gradient Hamiltonian Monte Carlo ICML 2014 Divide-and-Conquer Learning by Anchoring a Conical Hull NIPS 2014 GraphChi: Large-Scale Graph Computation on Just a PC OSDI 2012 Sample Complexity of Composite Likelihood AISTATS 2012 PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs OSDI 2012 Linear Submodular Bandits and their Application to Diversified Retrieval NIPS 2011 Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011 Kernel Belief Propagation AISTATS 2011 Nonparametric Tree Graphical Models AISTATS 2010 Focused Belief Propagation for Query-Specific Inference AISTATS 2010 Inference with Multivariate Heavy-Tails in Linear Models NIPS 2010 Evidence-Specific Structures for Rich Tractable CRFs NIPS 2010 Fourier Theoretic Probabilistic Inference over Permutations JMLR 2009 Riffled Independence for Ranked Data NIPS 2009 Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies JMLR 2008 Robust Submodular Observation Selection JMLR 2008 Efficient Principled Learning of Thin Junction Trees NIPS 2007 Efficient Inference for Distributions on Permutations NIPS 2007 Selecting Observations against Adversarial Objectives NIPS 2007 Distributed Inference in Dynamical Systems NIPS 2006