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Tommi Jaakkola
Tommi Jaakkola
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An introduction to variational methods for graphical models
MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul
Machine learning 37 (2), 183-233, 1999
39451999
Exploiting generative models in discriminative classifiers
T Jaakkola, D Haussler
Advances in neural information processing systems 11, 1998
19911998
Maximum-margin matrix factorization
N Srebro, J Rennie, T Jaakkola
Advances in neural information processing systems 17, 2004
12962004
Convergence of stochastic iterative dynamic programming algorithms
T Jaakkola, M Jordan, S Singh
Advances in neural information processing systems 6, 1993
11011993
Weighted low-rank approximations
N Srebro, T Jaakkola
Proceedings of the 20th international conference on machine learning (ICML …, 2003
9482003
Convergence results for single-step on-policy reinforcement-learning algorithms
S Singh, T Jaakkola, ML Littman, C Szepesvári
Machine learning 38 (3), 287-308, 2000
8562000
Serial regulation of transcriptional regulators in the yeast cell cycle
I Simon, J Barnett, N Hannett, CT Harbison, NJ Rinaldi, TL Volkert, ...
Cell 106 (6), 697-708, 2001
8122001
Partially labeled classification with Markov random walks
M Szummer, T Jaakkola
Advances in neural information processing systems 14, 2001
8052001
A deep learning approach to antibiotic discovery
JM Stokes, K Yang, K Swanson, W Jin, A Cubillos-Ruiz, NM Donghia, ...
Cell 180 (4), 688-702. e13, 2020
7952020
MAP estimation via agreement on trees: message-passing and linear programming
MJ Wainwright, TS Jaakkola, AS Willsky
IEEE transactions on information theory 51 (11), 3697-3717, 2005
7772005
Junction tree variational autoencoder for molecular graph generation
W Jin, R Barzilay, T Jaakkola
International conference on machine learning, 2323-2332, 2018
7682018
Computational discovery of gene modules and regulatory networks
Z Bar-Joseph, GK Gerber, TI Lee, NJ Rinaldi, JY Yoo, F Robert, ...
Nature biotechnology 21 (11), 1337-1342, 2003
7642003
Variational message passing.
J Winn, CM Bishop, T Jaakkola
Journal of Machine Learning Research 6 (4), 2005
7612005
Approximate inference in additive factorial hmms with application to energy disaggregation
JZ Kolter, T Jaakkola
Artificial intelligence and statistics, 1472-1482, 2012
7142012
An introduction to variational methods for graphical models
MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul
Learning in graphical models, 105-161, 1998
7051998
Bayesian parameter estimation via variational methods
TS Jaakkola, MI Jordan
Statistics and Computing 10 (1), 25-37, 2000
6902000
A discriminative framework for detecting remote protein homologies
T Jaakkola, M Diekhans, D Haussler
Journal of computational biology 7 (1-2), 95-114, 2000
6712000
Rationalizing neural predictions
T Lei, R Barzilay, T Jaakkola
arXiv preprint arXiv:1606.04155, 2016
6522016
Style transfer from non-parallel text by cross-alignment
T Shen, T Lei, R Barzilay, T Jaakkola
Advances in neural information processing systems 30, 2017
6162017
Using the Fisher kernel method to detect remote protein homologies.
TS Jaakkola, M Diekhans, D Haussler
ISMB 99, 149-158, 1999
5991999
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