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Disambiguation of "Broderick, Tamara"

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Beta Processes, Stick-Breaking and Power Laws

, , and . Bayesian Anal., 7 (2): 439--476 (June 2012)
DOI: 10.1214/12-ba715

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Tamara Broderick

George Broderick

Tamara Schemtschuk

Tamara Umland

Tamara Löwenstein

 

Other publications of authors with the same name

Sparse Approximate Cross-Validation for High-Dimensional GLMs., and . CoRR, (2019)Finite mixture models are typically inconsistent for the number of components, , and . (2020)cite arxiv:2007.04470Comment: 16 pages, 1 figure.A Performance Evaluation of Nomon: A Flexible Interface for Noisy Single-Switch Users., , , and . CHI, page 495:1-495:17. ACM, (2022)The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time., and . J. Mach. Learn. Res., (2023)A Swiss Army Infinitesimal Jackknife., , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1139-1147. PMLR, (2019)Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 796-805. PMLR, (2019)LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6315-6324. PMLR, (2019)Beta Processes, Stick-Breaking and Power Laws, , and . Bayesian Anal., 7 (2): 439--476 (June 2012)The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 141-150. PMLR, (2019)Finite mixture models do not reliably learn the number of components., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 1158-1169. PMLR, (2021)