Tamara Broderick
机构: Associate Professor of EECS, Massachusetts Institute of Technology
每年引用次数
引用次数
引用: 3,501
H-指数: 27
I10-指数 : 48
出版物: 211
Posteriors, conjugacy, and exponential families for completely random measures
Tamara Broderick , Michael I. Jordan , Ashia C. Wilson
arXiv: Statistics Theory
7
2014
Covariance Matrices and Influence Scores for Mean Field Variational Bayes
Tamara Broderick , Ryan Giordano
arXiv: Machine Learning
2015
Combining spatial and telemetric features for learning animal movement models
Robert E. Schapire , Berk Kapicioglu , Martin Wikelski , Tamara Broderick
uncertainty in artificial intelligence 260 -267
1
2010
Covariance Matrices for Mean Field Variational Bayes.
Tamara Broderick , Ryan Giordano
arXiv: Machine Learning
2014
Variational Bayes for Merging Noisy Databases
Rebecca Carter Steorts , T Broderick
arXiv: Methodology
3
2016
Faster solutions of the inverse pairwise Ising problem
Robert E. Schapire , Tamara Broderick , William Bialek , Miroslav Dud
arXiv: Quantitative Methods
62
2008
Cluster and Feature Modeling from Combinatorial Stochastic Processes
Jim Pitman , Tamara Broderick , Michael I. Jordan
arXiv: Statistics Theory
5
2012
Streaming Variational Bayes
Andre Wibisono , Tamara Broderick , Michael I Jordan , Nicholas Boyd
neural information processing systems 26 1727 -1735
126
2013
Clusters and features from combinatorial stochastic processes
Tamara Ann Broderick
9
2014
A translation of "The characteristic function of a random phenomenon" by Bruno de Finetti
Tamara Broderick , David Alvarez-Melis
arXiv: Statistics Theory
2015
Robust Inference with Variational Bayes
Tamara Broderick , Ryan Giordano , Michael Jordan
arXiv: Methodology
1
2015
Edge-exchangeable graphs and sparsity
Tamara Broderick , Diana Cai
arXiv: Statistics Theory
27
2016
Completely random measures for modeling power laws in sparse graphs
Tamara Broderick , Diana Cai
arXiv: Machine Learning
6
2016
Coresets for Scalable Bayesian Logistic Regression
Trevor Campbell , Jonathan H. Huggins , Tamara Broderick
arXiv: Computation
40
2016
Fast robustness quantification with variational Bayes
Jonathan Huggins , Tamara Broderick , Ryan Giordano , Michael Jordan
arXiv: Machine Learning
3
2016
Exchangeable Trait Allocations
Trevor Campbell , Tamara Broderick , Diana Cai
arXiv: Statistics Theory
2
2016
Boosting Variational Inference
David B. Dunson , Tamara Broderick , Fangjian Guo , Kai Fan
arXiv: Machine Learning
41
2016
Fast Measurements of Robustness to Changing Priors in Variational Bayes
Tamara Broderick , Ryan Giordano , Michael Jordan
arXiv: Methodology
2016
Edge-exchangeable graphs and sparsity (NIPS 2016)
Trevor Campbell , Tamara Broderick , Diana Cai
arXiv: Machine Learning
2016
Lecture 1: History and De Finetti's Theorem
Tamara Broderick , Michael I. Jordan
2010