Tamara Broderick
Tamara Broderick
Associate Professor of EECS, Massachusetts Institute of Technology
Verified email at csail.mit.edu - Homepage
Title
Cited by
Cited by
Year
Streaming variational bayes
T Broderick, N Boyd, A Wibisono, AC Wilson, MI Jordan
arXiv preprint arXiv:1307.6769, 2013
2942013
Ellipticity of dark matter haloes with galaxy–galaxy weak lensing
R Mandelbaum, CM Hirata, T Broderick, U Seljak, J Brinkmann
Monthly Notices of the Royal Astronomical Society 370 (2), 1008-1024, 2006
1292006
Coresets for scalable bayesian logistic regression
JH Huggins, T Campbell, T Broderick
arXiv preprint arXiv:1605.06423, 2016
1172016
MAD-Bayes: MAP-based asymptotic derivations from Bayes
T Broderick, B Kulis, M Jordan
International Conference on Machine Learning, 226-234, 2013
902013
Beta processes, stick-breaking, and power laws
T Broderick, MI Jordan, J Pitman
arXiv preprint arXiv:1106.0539, 2011
862011
Combinatorial clustering and the beta negative binomial process
T Broderick, L Mackey, J Paisley, MI Jordan
IEEE transactions on pattern analysis and machine intelligence 37 (2), 290-306, 2014
722014
Faster solutions of the inverse pairwise Ising problem
T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek
arXiv preprint arXiv:0712.2437, 2007
682007
Faster solutions of the inverse pairwise Ising problem
T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek
arXiv preprint arXiv:0712.2437, 2007
682007
Linear response methods for accurate covariance estimates from mean field variational Bayes
R Giordano, T Broderick, M Jordan
arXiv preprint arXiv:1506.04088, 2015
602015
Edge-exchangeable graphs and sparsity
D Cai, T Campbell, T Broderick
Proceedings of the 30th International Conference on Neural Information …, 2016
592016
Feature allocations, probability functions, and paintboxes
T Broderick, J Pitman, MI Jordan
Bayesian Analysis 8 (4), 801-836, 2013
562013
Redshift accuracy requirements for future supernova and number count surveys
D Huterer, A Kim, LM Krauss, T Broderick
The Astrophysical Journal 615 (2), 595, 2004
482004
Covariances, robustness and variational Bayes
R Giordano, T Broderick, MI Jordan
Journal of machine learning research 19 (51), 2018
472018
Automated scalable Bayesian inference via Hilbert coresets
T Campbell, T Broderick
The Journal of Machine Learning Research 20 (1), 551-588, 2019
452019
Boosting variational inference
F Guo, X Wang, K Fan, T Broderick, DB Dunson
arXiv preprint arXiv:1611.05559, 2016
452016
Real-time semiparametric regression
J Luts, T Broderick, MP Wand
Journal of Computational and Graphical Statistics 23 (3), 589-615, 2014
442014
Bayesian coreset construction via greedy iterative geodesic ascent
T Campbell, T Broderick
International Conference on Machine Learning, 698-706, 2018
432018
Cluster and feature modeling from combinatorial stochastic processes
T Broderick, MI Jordan, J Pitman
Statistical Science, 289-312, 2013
392013
A swiss army infinitesimal jackknife
R Giordano, W Stephenson, R Liu, M Jordan, T Broderick
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
332019
Optimistic concurrency control for distributed unsupervised learning
X Pan, JE Gonzalez, S Jegelka, T Broderick, MI Jordan
arXiv preprint arXiv:1307.8049, 2013
332013
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