Tamara Broderick
Tamara Broderick
Associate Professor of EECS, Massachusetts Institute of Technology
Potvrđena adresa e-pošte na mit.edu - Početna stranica
Naslov
Citirano
Citirano
Godina
Streaming variational bayes
T Broderick, N Boyd, A Wibisono, AC Wilson, MI Jordan
arXiv preprint arXiv:1307.6769, 2013
3322013
Coresets for scalable Bayesian logistic regression
J Huggins, T Campbell, T Broderick
Advances in Neural Information Processing Systems 29, 4080-4088, 2016
1582016
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
1332006
MAD-Bayes: MAP-based asymptotic derivations from Bayes
T Broderick, B Kulis, M Jordan
International Conference on Machine Learning, 226-234, 2013
982013
Beta processes, stick-breaking and power laws
T Broderick, MI Jordan, J Pitman
Bayesian analysis 7 (2), 439-476, 2012
932012
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
812020
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
732014
Faster solutions of the inverse pairwise Ising problem
T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek
arXiv preprint arXiv:0712.2437, 2007
712007
Faster solutions of the inverse pairwise Ising problem
T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek
arXiv preprint arXiv:0712.2437, 2007
712007
Edge-exchangeable graphs and sparsity
D Cai, T Campbell, T Broderick
Advances in Neural Information Processing Systems 29, 4249-4257, 2016
702016
Linear response methods for accurate covariance estimates from mean field variational Bayes
R Giordano, T Broderick, M Jordan
arXiv preprint arXiv:1506.04088, 2015
692015
Bayesian coreset construction via greedy iterative geodesic ascent
T Campbell, T Broderick
International Conference on Machine Learning, 698-706, 2018
682018
Automated scalable Bayesian inference via Hilbert coresets
T Campbell, T Broderick
The Journal of Machine Learning Research 20 (1), 551-588, 2019
622019
Covariances, robustness and variational bayes
R Giordano, T Broderick, MI Jordan
Journal of Machine Learning Research 19 (51), 2018
602018
Boosting variational inference
F Guo, X Wang, K Fan, T Broderick, DB Dunson
arXiv preprint arXiv:1611.05559, 2016
582016
Feature allocations, probability functions, and paintboxes
T Broderick, J Pitman, MI Jordan
Bayesian Analysis 8 (4), 801-836, 2013
582013
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
492004
Real-time semiparametric regression
J Luts, T Broderick, MP Wand
Journal of Computational and Graphical Statistics 23 (3), 589-615, 2014
462014
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
442019
Cluster and feature modeling from combinatorial stochastic processes
T Broderick, MI Jordan, J Pitman
Statistical Science 28 (3), 289-312, 2013
412013
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