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Tamara Broderick
Tamara Broderick
Associate Professor of EECS, Massachusetts Institute of Technology
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Streaming variational bayes
T Broderick, N Boyd, A Wibisono, AC Wilson, MI Jordan
Advances in neural information processing systems 26, 2013
3372013
Coresets for scalable Bayesian logistic regression
J Huggins, T Campbell, T Broderick
Advances in Neural Information Processing Systems 29, 2016
1742016
Transparency and reproducibility in artificial intelligence
B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, L Waldron, B Wang, ...
Nature 586 (7829), E14-E16, 2020
1482020
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
1372006
Beta processes, stick-breaking and power laws
T Broderick, MI Jordan, J Pitman
Bayesian analysis 7 (2), 439-476, 2012
1012012
MAD-Bayes: MAP-based asymptotic derivations from Bayes
T Broderick, B Kulis, M Jordan
International Conference on Machine Learning, 226-234, 2013
982013
Bayesian coreset construction via greedy iterative geodesic ascent
T Campbell, T Broderick
International Conference on Machine Learning, 698-706, 2018
872018
Automated scalable Bayesian inference via Hilbert coresets
T Campbell, T Broderick
The Journal of Machine Learning Research 20 (1), 551-588, 2019
812019
Faster solutions of the inverse pairwise Ising problem
T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek
arXiv preprint arXiv:0712.2437, 2007
772007
Faster solutions of the inverse pairwise Ising problem
T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek
arXiv preprint arXiv:0712.2437, 2007
772007
Linear response methods for accurate covariance estimates from mean field variational Bayes
RJ Giordano, T Broderick, MI Jordan
Advances in Neural Information Processing Systems 28, 2015
762015
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
752014
Covariances, robustness and variational bayes
R Giordano, T Broderick, MI Jordan
Journal of machine learning research 19 (51), 2018
742018
Edge-exchangeable graphs and sparsity
D Cai, T Campbell, T Broderick
Advances in Neural Information Processing Systems 29, 2016
732016
Boosting variational inference
F Guo, X Wang, K Fan, T Broderick, DB Dunson
arXiv preprint arXiv:1611.05559, 2016
652016
Feature allocations, probability functions, and paintboxes
T Broderick, J Pitman, MI Jordan
Bayesian Analysis 8 (4), 801-836, 2013
632013
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
572019
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
502004
Real-time semiparametric regression
J Luts, T Broderick, MP Wand
Journal of Computational and Graphical Statistics 23 (3), 589-615, 2014
492014
Cluster and feature modeling from combinatorial stochastic processes
T Broderick, MI Jordan, J Pitman
Statistical Science 28 (3), 289-312, 2013
442013
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