Search Machine Learning Repository:
All publications by Carlos Guestrin
authors venues years



Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization
Tyler Johnson and Carlos Guestrin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Stochastic Gradient Hamiltonian Monte Carlo
Tianqi Chen, Emily Fox and Carlos Guestrin
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Divide-and-Conquer Learning by Anchoring a Conical Hull
Tianyi Zhou, Jeff A. Bilmes and Carlos Guestrin
Advances in Neural Information Processing Systems 27, 2014


Hierarchical Exploration for Accelerating Contextual Bandits
Yisong Yue, Sue A. Hong and Carlos Guestrin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Sample Complexity of Composite Likelihood
Joseph K. Bradley and Carlos Guestrin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Linear Submodular Bandits and their Application to Diversified Retrieval
Yisong Yue and Carlos Guestrin
Advances in Neural Information Processing Systems 24, 2011


Parallel Coordinate Descent for L1-Regularized Loss Minimization
Aapo Kyrola, Daniel Bickson, Carlos Guestrin and Joseph K. Bradley
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Kernel Belief Propagation
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low and Carlos Guestrin
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
Joseph Gonzalez, Yucheng Low, Arthur Gretton and Carlos Guestrin
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Learning Hierarchical Riffle Independent Groupings from Rankings
Jonathan Huang and Carlos Guestrin
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Tree Conditional Random Fields
Joseph K. Bradley and Carlos Guestrin
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Evidence-Specific Structures for Rich Tractable CRFs
Anton Chechetka and Carlos Guestrin
Advances in Neural Information Processing Systems 23, 2010


Inference with Multivariate Heavy-Tails in Linear Models
Danny Bickson and Carlos Guestrin
Advances in Neural Information Processing Systems 23, 2010


Nonparametric Tree Graphical Models
Le Song, Arthur Gretton and Carlos Guestrin
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Focused Belief Propagation for Query-Specific Inference
Anton Chechetka and Carlos Guestrin
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Fourier Theoretic Probabilistic Inference over Permutations
Jonathan Huang, Carlos Guestrin and Leonidas J. Guibas
Journal of Machine Learning Research, 2009


Riffled Independence for Ranked Data
Jonathan Huang and Carlos Guestrin
Advances in Neural Information Processing Systems 22, 2009


Learning Thin Junction Trees via Graph Cuts
Dafna Shahaf and Carlos Guestrin
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Exploiting Probabilistic Independence for Permutations
Jonathan Huang, Carlos Guestrin, Xiaoye Jiang and Leonidas J. Guibas
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Residual Splash for Optimally Parallelizing Belief Propagation
Joseph Gonzalez, Yucheng Low and Carlos Guestrin
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
Andreas Krause, Ajit P. Singh and Carlos Guestrin
Journal of Machine Learning Research, 2008


Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach
Andreas Krause and Carlos Guestrin
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Efficient Inference for Distributions on Permutations
Jonathan Huang, Carlos Guestrin and Leonidas Guibas
Advances in Neural Information Processing Systems 20, 2007


Selecting Observations against Adversarial Objectives
Andreas Krause, Brendan Mcmahan, Carlos Guestrin and Anupam Gupta
Advances in Neural Information Processing Systems 20, 2007


Efficient Principled Learning of Thin Junction Trees
Anton Chechetka and Carlos Guestrin
Advances in Neural Information Processing Systems 20, 2007


Data association for topic intensity tracking
Andreas Krause, Jure Leskovec and Carlos Guestrin
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Distributed Inference in Dynamical Systems
Stanislav Funiak, Carlos Guestrin, Rahul Sukthankar and Mark A. Paskin
Advances in Neural Information Processing Systems 19, 2006


Learning structured prediction models: a large margin approach
Vassil Chatalbashev, Daphne Koller, Carlos Guestrin and Ben Taskar
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Near-optimal sensor placements in Gaussian processes
Carlos Guestrin, Andreas Krause and Ajit P. Singh
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Max-Margin Markov Networks
Ben Taskar, Carlos Guestrin and Daphne Koller
Advances in Neural Information Processing Systems 16, 2003