Tamara Broderick

发表

Beta processes , stick-breaking , and power laws MS Project Report

J. Pitman, Tamara Broderick, M.I. Jordan, 2011 .

Combinatorial Clustering and the Beta Negative Binomial Process

Michael I. Jordan, Tamara Broderick, John W. Paisley, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Beta Processes, Stick-Breaking and Power Laws

Michael I. Jordan, J. Pitman, Tamara Broderick, 2011, 1106.0539.

Optimistic Concurrency Control for Distributed Unsupervised Learning

Michael I. Jordan, Joseph Gonzalez, Stefanie Jegelka, 2013, NIPS.

Closed-Form Approximations of First-Passage Distributions for a Stochastic Decision-Making Model.

P. Holmes, Tamara Broderick, KongFatt Wong-Lin, 2010, Applied mathematics research express : AMRX.

Posteriors, conjugacy, and exponential families for completely random measures

Michael I. Jordan, Ashia C. Wilson, Tamara Broderick, 2014, Bernoulli.

Streaming Variational Bayes

Andre Wibisono, Michael I. Jordan, Tamara Broderick, 2013, NIPS.

Real-Time Semiparametric Regression

M. Wand, Tamara Broderick, J. Luts, 2012, 1209.3550.

Covariances, Robustness, and Variational Bayes

Michael I. Jordan, Tamara Broderick, Ryan Giordano, 2017, J. Mach. Learn. Res..

Fast robustness quantification with variational Bayes

Michael I. Jordan, Tamara Broderick, Jonathan Huggins, 2016, 1606.07153.

MAD-Bayes: MAP-based Asymptotic Derivations from Bayes

Michael I. Jordan, Tamara Broderick, Brian Kulis, 2012, ICML.

Feature allocations, probability functions, and paintboxes

Michael I. Jordan, J. Pitman, Tamara Broderick, 2013, 1301.6647.

Cluster and Feature Modeling from Combinatorial Stochastic Processes

Michael I. Jordan, J. Pitman, Tamara Broderick, 2012, 1206.5862.

Clusters and Features from Combinatorial Stochastic Processes

Tamara Broderick, Tamara Broderick, 2014 .

Measuring Cluster Stability for Bayesian Nonparametrics Using the Linear Bootstrap

Michael I. Jordan, Tamara Broderick, M.I. Jordan, 2017, 1712.01435.

Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes

Michael I. Jordan, Tamara Broderick, Ryan Giordano, 2015, NIPS.

Robust Inference with Variational Bayes

Tamara Broderick, M.I. Jordan, Ryan Giordano, 2015, 1512.02578.

LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations pdf

Tamara Broderick, Raj Agrawal, Jonathan H. Huggins, 2019, ICML.

Comment: Nonparametric Bayes Modeling of Populations of Networks

Tamara Broderick, Tamara Broderick, 2017 .

Truncated random measures

Tamara Broderick, J. How, Jonathan Huggins, 2016, Bernoulli.

Exchangeable Trait Allocations

Tamara Broderick, Trevor Campbell, Diana Cai, 2016, 1609.09147.

More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics

Tamara Broderick, Lorenzo Masoero, Federico Camerlenghi, 2019, 1912.05516.

Fast and Flexible Selection with a Single Switch

Tamara Broderick, David John Cameron MacKay, D. Mackay, 2009, PloS one.

Transparency and reproducibility in artificial intelligence

Trevor Hastie, Joelle Pineau, Robert Tibshirani, 2020, Nature.

Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics

Michael I. Jordan, Tamara Broderick, Ryan Giordano, 2018, Bayesian Analysis.

An Automatic Finite-Sample Robustness Metric: Can Dropping a Little Data Change Conclusions?

Tamara Broderick, Ryan Giordano, Rachael Meager, 2020 .

Local exchangeability

Michael I. Jordan, Tamara Broderick, Chiao-Yu Yang, 2019, Bernoulli.

RAPID, MACHINE-LEARNED RESOURCE ALLOCATION: APPLICATION TO HIGH-REDSHIFT GAMMA-RAY BURST FOLLOW-UP

Tamara Broderick, J. Richards, J. Bloom, 2011, 1112.3654.

Probabilistic reconstruction of cellular differentiation trees from single-cell RNA-seq data

William T. Stephenson, A. Regev, Tamara Broderick, 2017 .

Paintboxes and probability functions for edge-exchangeable graphs

Tamara Broderick, Trevor Campbell, Diana Cai, 2016 .

Edge-exchangeable graphs and sparsity (NIPS 2016)

Tamara Broderick, Trevor Campbell, Diana Cai, 2016, 1612.05519.

Genomic variety prediction via Bayesian nonparametrics

Tamara Broderick, S. Favaro, L. Masoero, 2019 .

Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

T. Jaakkola, Tamara Broderick, R. Barzilay, 2022, ArXiv.

Bernoulli Society for Mathematical Statistics and Probability Version

Michael I. Jordan, Ashia C. Wilson, Tamara Broderick, 2016 .

Redshift Accuracy Requirements for Future Supernova and Number Count Surveys

Tamara Broderick, A. Kim, D. Huterer, 2004, astro-ph/0402002.

Feature allocations, probability functions, and paintboxes

Michael I. Jordan, J. Pitman, Tamara Broderick, 2013, 1301.6647.

Ellipticity of dark matter haloes with galaxy–galaxy weak lensing

Tamara Broderick, J. Brinkmann, R. Mandelbaum, 2005, astro-ph/0507108.

Bayesians Statistics in the Big Data Era ( event 1912 ) Dates : 26-30 November 2018

Tamara Broderick, Pierre Alquier, Reza Mohammadi, 2018 .

Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression

William T. Stephenson, Tamara Broderick, Madeleine Udell, 2021, NeurIPS.

Finite mixture models do not reliably learn the number of components

Trevor Campbell, Tamara Broderick, Diana Cai, 2020, International Conference on Machine Learning.

The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time

Tamara Broderick, Raj Agrawal, 2021, J. Mach. Learn. Res..

HOW GOOD IS YOUR GAUSSIAN APPROXIMATION OF THE POSTERIOR? FINITE-SAMPLE COMPUTABLE ERROR BOUNDS FOR A VARIETY OF USEFUL DIVERGENCES

Tamara Broderick, Ryan Giordano, Mikolaj Kasprzak, 2022 .

Confidently Comparing Estimates with the c-value

Sameer K. Deshpande, Tamara Broderick, B. Trippe, 2022, Journal of the American Statistical Association.

Confidently Comparing Estimators with the c-value

Sameer K. Deshpande, Tamara Broderick, B. Trippe, 2021, 2102.09705.

Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models

Tamara Broderick, Raj Agrawal, Caroline Uhler, 2018, ICML.

Approximate Cross-Validation for Structured Models pdf

Soumya Ghosh, William T. Stephenson, Tin D. Nguyen, 2020, NeurIPS.

Bayesian nonparametric strategies for power maximization in rare variants association studies

Tamara Broderick, Lorenzo Masoero, Joshua Schraiber, 2021, 2112.02032.

For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets pdf

Tamara Broderick, Hilary K. Finucane, Brian L. Trippe, 2021, NeurIPS.

Scaled Process Priors for Bayesian Nonparametric Estimation of the Unseen Genetic Variation

Tamara Broderick, S. Favaro, L. Masoero, 2021, Journal of the American Statistical Association.

Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach pdf

Trevor Campbell, Tamara Broderick, Jonathan H. Huggins, 2018, ArXiv.

Classification and Categorical Inputs with Treed Gaussian Process Models

Robert B. Gramacy, Tamara Broderick, Tamara Broderick, 2009, J. Classif..

Edge-exchangeable graphs and sparsity

Trevor Campbell, Tamara Broderick, Diana Cai, 2016, NIPS.

Variational Bayes for Merging Noisy Databases

Rebecca C. Steorts, Tamara Broderick, Tamara Broderick, 2014, 1410.4792.

Boosting Variational Inference pdf

Xiangyu Wang, David B. Dunson, Kai Fan, 2016, ArXiv.

Toward a taxonomy of trust for probabilistic machine learning pdf

Tamara Broderick, Rachael Meager, Andrew Gelman, 2021, Science advances.

Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

Brian L. Trippe, T. Jaakkola, Tamara Broderick, 2022, ICLR.

An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?

Tamara Broderick, Ryan Giordano, Rachael Meager, 2020, 2011.14999.

A Swiss Army Infinitesimal Jackknife

Michael I. Jordan, William T. Stephenson, Tamara Broderick, 2018, AISTATS.

Independent Finite Approximations for Bayesian Nonparametric Inference

Tin D. Nguyen, Tamara Broderick, Lester W. Mackey, 2020, Bayesian Analysis.

Nomon : Efficient communication with a single switch

Tamara Broderick, Philipp Hennig, Carl Scheffler, 2009 .

Automated Scalable Bayesian Inference via Hilbert Coresets

Trevor Campbell, Tamara Broderick, Tamara Broderick, 2017, J. Mach. Learn. Res..

Coresets for Scalable Bayesian Logistic Regression

Trevor Campbell, Tamara Broderick, Jonathan H. Huggins, 2016, NIPS.

Finite mixture models do not reliably learn the number of components

Tamara Broderick, Trevor Campbell, Diana Cai, 2020, ICML.

Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent pdf

Trevor Campbell, Tamara Broderick, Tamara Broderick, 2018, ICML.

Fast Measurements of Robustness to Changing Priors in Variational Bayes

Michael I. Jordan, Tamara Broderick, Ryan Giordano, 2016, 1611.07469.

Measuring the robustness of Gaussian processes to kernel choice

William T. Stephenson, Tin D. Nguyen, Sameer K. Deshpande, 2021, AISTATS.

A Higher-Order Swiss Army Infinitesimal Jackknife pdf

Michael I. Jordan, Tamara Broderick, Ryan Giordano, 2019, ArXiv.

Approximate Cross-Validation in High Dimensions with Guarantees

William T. Stephenson, Tamara Broderick, Tamara Broderick, 2019, AISTATS.

Independent finite approximations for Bayesian nonparametric inference: construction, error bounds, and practical implications

Tin D. Nguyen, Tamara Broderick, Lester Mackey, 2020 .

A translation of "The characteristic function of a random phenomenon" by Bruno de Finetti

Tamara Broderick, David Alvarez-Melis, 2015, 1512.01229.

Gaussian processes at the Helm(holtz): A more fluid model for ocean currents

David R. Burt, Tamara Broderick, B. Trippe, 2023, ArXiv.

An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?

Tamara Broderick, Ryan Giordano, Rachael Meager, 2020, 2011.14999.

How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences

Tamara Broderick, Ryan Giordano, Mikolaj Kasprzak, 2022, 2209.14992.

Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees

Trevor Campbell, Tamara Broderick, Jonathan H. Huggins, 2018, AISTATS.

The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions pdf

Tamara Broderick, Raj Agrawal, Jonathan H. Huggins, 2019, ICML.

PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference

Ryan P. Adams, Tamara Broderick, Jonathan H. Huggins, 2017, NIPS.

Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box

Tamara Broderick, Ryan Giordano, Martin Ingram, 2023, ArXiv.

Many processors, little time: MCMC for partitions via optimal transport couplings

Tin D. Nguyen, Brian L. Trippe, Tamara Broderick, 2022, AISTATS.

Measuring the sensitivity of Gaussian processes to kernel choice pdf

Soumya Ghosh, William T. Stephenson, Tin D. Nguyen, 2021, ArXiv.

Combinatorial Clustering and the Beta Negative Binomial Process

Michael I. Jordan, Tamara Broderick, Lester W. Mackey, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

More for less: predicting and maximizing genomic variant discovery via Bayesian nonparametrics

Tamara Broderick, S. Favaro, L. Masoero, 2019, Biometrika.

Identifying high-Z gamma-ray burst candidates using random forest classification

Tamara Broderick, Adam N. Morgan, James P. Long, 2012 .

Sparse Approximate Cross-Validation for High-Dimensional GLMs

William T. Stephenson, Tamara Broderick, 2019, ArXiv.

Validated Variational Inference via Practical Posterior Error Bounds

Trevor Campbell, Tamara Broderick, Jonathan H. Huggins, 2019, AISTATS.

Lecture 1: History and De Finetti's Theorem

Michael I. Jordan, Tamara Broderick, 2010 .

Treed Gaussian Process Models for Classification

Robert B. Gramacy, Tamara Broderick, Tamara Broderick, 2010 .

Reconstructing probabilistic trees of cellular differentiation from single-cell RNA-seq data pdf

Trevor Campbell, William T. Stephenson, Tamara Broderick, 2018, ArXiv.

Return of the Infinitesimal Jackknife

William T. Stephenson, Tamara Broderick, Ryan Giordano, 2018 .