| Streaming variational bayes T Broderick, N Boyd, A Wibisono, AC Wilson, MI Jordan arXiv preprint arXiv:1307.6769, 2013 | 303 | 2013 |
| 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 | 132 | 2006 |
| Coresets for scalable bayesian logistic regression JH Huggins, T Campbell, T Broderick arXiv preprint arXiv:1605.06423, 2016 | 123 | 2016 |
| MAD-Bayes: MAP-based asymptotic derivations from Bayes T Broderick, B Kulis, M Jordan International Conference on Machine Learning, 226-234, 2013 | 91 | 2013 |
| Beta processes, stick-breaking and power laws T Broderick, MI Jordan, J Pitman Bayesian analysis 7 (2), 439-476, 2012 | 86 | 2012 |
| 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 | 72 | 2014 |
| Faster solutions of the inverse pairwise Ising problem T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek arXiv preprint arXiv:0712.2437, 2007 | 71 | 2007 |
| Faster solutions of the inverse pairwise Ising problem T Broderick, M Dudik, G Tkacik, RE Schapire, W Bialek arXiv preprint arXiv:0712.2437, 2007 | 71 | 2007 |
| Linear response methods for accurate covariance estimates from mean field variational Bayes R Giordano, T Broderick, M Jordan arXiv preprint arXiv:1506.04088, 2015 | 63 | 2015 |
| Edge-exchangeable graphs and sparsity D Cai, T Campbell, T Broderick Proceedings of the 30th International Conference on Neural Information …, 2016 | 60 | 2016 |
| Feature allocations, probability functions, and paintboxes T Broderick, J Pitman, MI Jordan Bayesian Analysis 8 (4), 801-836, 2013 | 57 | 2013 |
| Automated scalable Bayesian inference via Hilbert coresets T Campbell, T Broderick The Journal of Machine Learning Research 20 (1), 551-588, 2019 | 51 | 2019 |
| Bayesian coreset construction via greedy iterative geodesic ascent T Campbell, T Broderick International Conference on Machine Learning, 698-706, 2018 | 48 | 2018 |
| 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 | 48 | 2004 |
| Covariances, robustness and variational Bayes R Giordano, T Broderick, MI Jordan Journal of machine learning research 19 (51), 2018 | 47 | 2018 |
| Boosting variational inference F Guo, X Wang, K Fan, T Broderick, DB Dunson arXiv preprint arXiv:1611.05559, 2016 | 46 | 2016 |
| Real-time semiparametric regression J Luts, T Broderick, MP Wand Journal of Computational and Graphical Statistics 23 (3), 589-615, 2014 | 44 | 2014 |
| Cluster and feature modeling from combinatorial stochastic processes T Broderick, MI Jordan, J Pitman Statistical Science, 289-312, 2013 | 39 | 2013 |
| 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 | 34 | 2019 |
| Optimistic concurrency control for distributed unsupervised learning X Pan, JE Gonzalez, S Jegelka, T Broderick, MI Jordan arXiv preprint arXiv:1307.8049, 2013 | 33 | 2013 |
