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Tamara Broderick

About Tamara Broderick

Tamara Broderick, With an exceptional h-index of 26 and a recent h-index of 24 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Machine Learning, Statistics, Bayesian Inference.

His recent articles reflect a diverse array of research interests and contributions to the field:

Double trouble: Predicting new variant counts across two heterogeneous populations

Learning a vector field from snapshots of unidentified particles rather than particle trajectories

Consistent Validation for Predictive Methods in Spatial Settings

Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation

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

Could dropping a few cells change the takeaways from differential expression?

A Usability Study of Nomon: A Flexible Interface for Single-Switch Users

Local exchangeability

Tamara Broderick Information

University

Position

Associate Professor of EECS

Citations(all)

3259

Citations(since 2020)

2271

Cited By

1813

hIndex(all)

26

hIndex(since 2020)

24

i10Index(all)

45

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Tamara Broderick Skills & Research Interests

Machine Learning

Statistics

Bayesian Inference

Top articles of Tamara Broderick

Double trouble: Predicting new variant counts across two heterogeneous populations

arXiv preprint arXiv:2403.02154

2024/3/4

Tamara Broderick
Tamara Broderick

H-Index: 20

Learning a vector field from snapshots of unidentified particles rather than particle trajectories

2024/3/3

Tamara Broderick
Tamara Broderick

H-Index: 20

Consistent Validation for Predictive Methods in Spatial Settings

arXiv preprint arXiv:2402.03527

2024/2/5

David R Burt
David R Burt

H-Index: 4

Tamara Broderick
Tamara Broderick

H-Index: 20

Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation

Journal of the American Statistical Association

2024/1/2

Stefano Favaro
Stefano Favaro

H-Index: 12

Tamara Broderick
Tamara Broderick

H-Index: 20

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

Journal of Machine Learning Research

2024

Tamara Broderick
Tamara Broderick

H-Index: 20

Could dropping a few cells change the takeaways from differential expression?

arXiv preprint arXiv:2312.06159

2023/12/11

Tamara Broderick
Tamara Broderick

H-Index: 20

A Usability Study of Nomon: A Flexible Interface for Single-Switch Users

2023/10/22

Keith Vertanen
Keith Vertanen

H-Index: 14

Tamara Broderick
Tamara Broderick

H-Index: 20

Local exchangeability

Bernoulli

2023/8

Chiao-Yu Yang
Chiao-Yu Yang

H-Index: 4

Tamara Broderick
Tamara Broderick

H-Index: 20

The Bayesian Infinitesimal Jackknife for Variance

arXiv preprint arXiv:2305.06466

2023/5/10

Tamara Broderick
Tamara Broderick

H-Index: 20

Evaluating Sensitivity to the Stick-Breaking Prior in Bayesian Nonparametrics (Rejoinder)

arXiv preprint arXiv:2303.06317

2023/3/11

Tamara Broderick
Tamara Broderick

H-Index: 20

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

arXiv preprint arXiv:2302.10364

2023/2/20

David R Burt
David R Burt

H-Index: 4

Kaushik Srinivasan
Kaushik Srinivasan

H-Index: 6

Junfei Xia
Junfei Xia

H-Index: 1

Tamara Broderick
Tamara Broderick

H-Index: 20

Confidently Comparing Estimates with the c-value

Journal of the American Statistical Association

2023/2/16

Tamara Broderick
Tamara Broderick

H-Index: 20

Toward a taxonomy of trust for probabilistic machine learning

2023/2/15

Tamara Broderick
Tamara Broderick

H-Index: 20

Andrew Gelman
Andrew Gelman

H-Index: 31

Tian Zheng
Tian Zheng

H-Index: 18

Independent finite approximations for Bayesian nonparametric inference

Bayesian Analysis

2023/1

Jonathan Huggins
Jonathan Huggins

H-Index: 11

Tamara Broderick
Tamara Broderick

H-Index: 20

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

Journal of Machine Learning Research

2023

Tamara Broderick
Tamara Broderick

H-Index: 20

Developing a series of ai challenges for the united states department of the air force

2022/9/19

Vijay Gadepally
Vijay Gadepally

H-Index: 24

Tamara Broderick
Tamara Broderick

H-Index: 20

Miriam Cha
Miriam Cha

H-Index: 10

James Glass
James Glass

H-Index: 49

Mark Hamilton
Mark Hamilton

H-Index: 6

Thomas Heldt
Thomas Heldt

H-Index: 16

Kuan Wei Huang
Kuan Wei Huang

H-Index: 1

Phillip Isola
Phillip Isola

H-Index: 32

Boris Katz
Boris Katz

H-Index: 21

Yen-Chen Lin
Yen-Chen Lin

H-Index: 3

Vivienne Sze
Vivienne Sze

H-Index: 35

Jonathan Taylor
Jonathan Taylor

H-Index: 12

Mark Veillette
Mark Veillette

H-Index: 7

Jeremy Kepner
Jeremy Kepner

H-Index: 33

Multimodal physiological monitoring during virtual reality piloting tasks

2022/8

Hrishikesh Rao
Hrishikesh Rao

H-Index: 4

Laura Brattain
Laura Brattain

H-Index: 10

Gregory Ciccarelli
Gregory Ciccarelli

H-Index: 8

Vivienne Sze
Vivienne Sze

H-Index: 35

Tamara Broderick
Tamara Broderick

H-Index: 20

Thomas Heldt
Thomas Heldt

H-Index: 16

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

arXiv preprint arXiv:2206.04119

2022/6/8

David Baker
David Baker

H-Index: 117

Tamara Broderick
Tamara Broderick

H-Index: 20

Tommi Jaakkola
Tommi Jaakkola

H-Index: 60

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

2022/5/3

Tamara Broderick
Tamara Broderick

H-Index: 20

A Performance Evaluation of Nomon: A Flexible Interface for Noisy Single-Switch Users

2022/4/29

Keith Vertanen
Keith Vertanen

H-Index: 14

Tamara Broderick
Tamara Broderick

H-Index: 20

See List of Professors in Tamara Broderick University(Massachusetts Institute of Technology)