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All publications by Tommi S. Jaakkola
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Convergence Rate Analysis of MAP Coordinate Minimization Algorithms
Ofer Meshi, Amir Globerson and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 25, 2012


On the Partition Function and Random Maximum A-Posteriori Perturbations
Tamir Hazan and Tommi S. Jaakkola
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Learning Efficiently with Approximate Inference via Dual Losses
Ofer Meshi, David Sontag, Amir Globerson and Tommi S. Jaakkola
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


More data means less inference: A pseudo-max approach to structured learning
David Sontag, Ofer Meshi, Amir Globerson and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 23, 2010


Clusters and Coarse Partitions in LP Relaxations
David Sontag, Amir Globerson and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 21, 2008


Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
Amir Globerson and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 20, 2007


New Outer Bounds on the Marginal Polytope
David Sontag and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 20, 2007


Game Theoretic Algorithms for Protein-DNA binding
Luis PĂ©rez-breva, Luis E. Ortiz, Chen-hsiang Yeang and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 19, 2006


Approximate inference using planar graph decomposition
Amir Globerson and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 19, 2006


Parameter Expanded Variational Bayesian Methods
Tommi S. Jaakkola and Yuan Qi
Advances in Neural Information Processing Systems 19, 2006


Distributed Information Regularization on Graphs
Adrian Corduneanu and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 17, 2004


Maximum-Margin Matrix Factorization
Nathan Srebro, Jason Rennie and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 17, 2004


Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices
Nathan Srebro, Noga Alon and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 17, 2004


Online Learning of Non-stationary Sequences
Claire Monteleoni and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 16, 2003


Bias-Corrected Bootstrap and Model Uncertainty
Harald Steck and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 16, 2003


Linear Dependent Dimensionality Reduction
Nathan Srebro and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 16, 2003


Information Regularization with Partially Labeled Data
Martin Szummer and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 15, 2002


Exact MAP Estimates by (Hyper)tree Agreement
Alan S. Willsky, Martin J. Wainwright and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 15, 2002


On the Dirichlet Prior and Bayesian Regularization
Harald Steck and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 15, 2002