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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
3842013
Transparency and reproducibility in artificial intelligence
B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ...
Nature 586 (7829), E14-E16, 2020
3492020
Coresets for scalable Bayesian logistic regression
J Huggins, T Campbell, T Broderick
Advances in neural information processing systems 29, 2016
2462016
Diffusion probabilistic modeling of protein backbones in 3d for the motif-scaffolding problem
BL Trippe, J Yim, D Tischer, D Baker, T Broderick, R Barzilay, T Jaakkola
arXiv preprint arXiv:2206.04119, 2022
1692022
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
1432006
Bayesian coreset construction via greedy iterative geodesic ascent
T Campbell, T Broderick
International Conference on Machine Learning, 698-706, 2018
1392018
Covariances, robustness, and variational Bayes
R Giordano, T Broderick, MI Jordan
Journal of machine learning research 19 (51), 1-49, 2018
1262018
Automated scalable Bayesian inference via Hilbert coresets
T Campbell, T Broderick
Journal of Machine Learning Research 20 (15), 1-38, 2019
1202019
Beta processes, stick-breaking and power laws
T Broderick, MI Jordan, J Pitman
1112012
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
1042019
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
1032015
MAD-Bayes: MAP-based asymptotic derivations from Bayes
T Broderick, B Kulis, M Jordan
International Conference on Machine Learning, 226-234, 2013
1022013
Edge-exchangeable graphs and sparsity
D Cai, T Campbell, T Broderick
Advances in Neural Information Processing Systems 29, 2016
952016
Boosting variational inference
F Guo, X Wang, K Fan, T Broderick, DB Dunson
arXiv preprint arXiv:1611.05559, 2016
832016
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
812014
Faster solutions of the inverse pairwise Ising problem
T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek
arXiv preprint arXiv:0712.2437, 2007
812007
Faster solutions of the inverse pairwise Ising problem
T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek
arXiv preprint arXiv:0712.2437, 2007
812007
Feature allocations, probability functions, and paintboxes
T Broderick, J Pitman, MI Jordan
772013
Validated variational inference via practical posterior error bounds
J Huggins, M Kasprzak, T Campbell, T Broderick
International Conference on Artificial Intelligence and Statistics, 1792-1802, 2020
59*2020
Real-time semiparametric regression
J Luts, T Broderick, MP Wand
Journal of Computational and Graphical Statistics 23 (3), 589-615, 2014
532014
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