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All publications by Tommi Jaakkola
authors venues years



From random walks to distances on unweighted graphs
Tatsunori Hashimoto, Yi Sun and Tommi Jaakkola
Advances in Neural Information Processing Systems 28, 2015


Principal Differences Analysis: Interpretable Characterization of Differences between Distributions
Jonas W. Mueller and Tommi Jaakkola
Advances in Neural Information Processing Systems 28, 2015


A Unified Framework for Consistency of Regularized Loss Minimizers
Jean Honorio and Tommi Jaakkola
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


On Measure Concentration of Random Maximum A-Posteriori Perturbations
Francesco Orabona, Tamir Hazan, Anand Sarwate and Tommi Jaakkola
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Controlling privacy in recommender systems
Yu Xin and Tommi Jaakkola
Advances in Neural Information Processing Systems 27, 2014


Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions
Tamir Hazan, Subhransu Maji, Joseph Keshet and Tommi Jaakkola
Advances in Neural Information Processing Systems 26, 2013


On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations
Tamir Hazan, Subhransu Maji and Tommi Jaakkola
Advances in Neural Information Processing Systems 26, 2013


Primal-Dual methods for sparse constrained matrix completion
Yu Xin and Tommi Jaakkola
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
J. Z. Kolter and Tommi Jaakkola
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Learning Bayesian Network Structure using LP Relaxations
Tommi Jaakkola, David Sontag, Amir Globerson and Marina Meila
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Tree Block Coordinate Descent for MAP in Graphical Models
David Sontag and Tommi Jaakkola
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Predictive Discretization during Model Selection
Harald Steck and Tommi Jaakkola
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Approximate inference using conditional entropy decompositions
Amir Globerson and Tommi Jaakkola
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Weighted Low-Rank Approximations
Nathan Srebro and Tommi Jaakkola
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Tree-based reparameterization for approximate inference on loopy graphs
Martin J. Wainwright, Tommi Jaakkola and Alan S. Willsky
Advances in Neural Information Processing Systems 14, 2001


Active Information Retrieval
Tommi Jaakkola and Hava T. Siegelmann
Advances in Neural Information Processing Systems 14, 2001


Partially labeled classification with Markov random walks
Martin Szummer and Tommi Jaakkola
Advances in Neural Information Processing Systems 14, 2001