Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy
Jean Honorio , Jaakkola Tommi
international conference on machine learning 459 -467
3
2013
Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis
J Struble Thomas , C Alvarez Juan , P Brown Scott , Chytil Milan
Journal of medicinal chemistry
Artificial Intelligence and Statistics 2001 : proceedings of the eighth international workshop : January 4-7, 2001, Key West, Florida
Thomas Richardson , Tommi S. Jaakkola
Morgan Kaufmann Publishers
2001
Variational methods for inference and estimation in graphical models
Tommi S. Jaakkola , Michael I. Jordan
Massachusetts Institute of Technology
133
1997
Tree-reweighted belief propagation algorithms and approximate ML estimation by pseudo-moment matching.
Martin J. Wainwright , Alan S. Willsky , Tommi S. Jaakkola
international conference on artificial intelligence and statistics
159
2003
Hierarchical Dirichlet Process-Based Models For Discovery of Cross-species Mammalian Gene Expression
Tommi S. Jaakkola , Georg K. Gerber , Robin D. Dowell , David K. Gifford
4
2007
Approximate inference using conditional entropy decompositions
Tommi S. Jaakkola , Amir Globerson
international conference on artificial intelligence and statistics 130 -138
40
2007
6.867 Machine Learning, Fall 2002
Tommi S. Jaakkola
2002
From random walks to distances on unweighted graphs
Tommi S. Jaakkola , Tatsunori B. Hashimoto , Yi Sun
neural information processing systems 28 3429 -3437
7
2015
Parameter Expanded Variational Bayesian Methods
Tommi S. Jaakkola , Yuan Qi
neural information processing systems 1097 -1104
33
2006
More data means less inference: A pseudo-max approach to structured learning
Ofer Meshi , Tommi S. Jaakkola , Amir Globerson , David Sontag
neural information processing systems 23 2181 -2189
23
2010
Linear Dependent Dimensionality Reduction
Tommi S. Jaakkola , Nathan Srebro
neural information processing systems 16 145 -152
6
2003
Game Theoretic Algorithms for Protein-DNA binding
Luis Pérez-breva , Tommi S. Jaakkola , Chen-hsiang Yeang , Luis E Ortiz
neural information processing systems 1081 -1088
4
2006
Approximate inference using planar graph decomposition
Tommi S. Jaakkola , Amir Globerson
neural information processing systems 473 -480
54
2006
Distributed Information Regularization on Graphs
Tommi S. Jaakkola , Adrian Corduneanu
neural information processing systems 17 297 -304
36
2004
Active Boundary Annotation using Random MAP Perturbations
Tommi S. Jaakkola , Tamir Hazan , Subhransu Maji
international conference on artificial intelligence and statistics 604 -613
11
2014
Online Learning of Non-stationary Sequences
Tommi S. Jaakkola , Claire Monteleoni
neural information processing systems 16 1093 -1100
55
2003
Maximum-Margin Matrix Factorization
Tommi S. Jaakkola , Nathan Srebro , Jason Rennie
neural information processing systems 17 1329 -1336
1,329
2004
Clusters and Coarse Partitions in LP Relaxations
Tommi S. Jaakkola , Amir Globerson , David Sontag
neural information processing systems 21 1537 -1544
20
2008
On the Dirichlet Prior and Bayesian Regularization
Tommi S. Jaakkola , Harald Steck
neural information processing systems 15 713 -720
124
2002
Regina Barzilay Wengong Jin Michael I. Jordan Klavs F.Jensen Nathan Srebro David Alvarez-Melis Lawrence K. Saul Alan S. Willsky Connor W. Coley Amir Globerson Martin Wainwright Zoubin Ghahramani William H. Green Tao Lei David Sontag Ziv Bar-Joseph Richard Young Georg Gerber Kyle Swanson David Haussler