Devavrat Shah

Devavrat Shah

Massachusetts Institute of Technology

H-index: 64

North America-United States

About Devavrat Shah

Devavrat Shah, With an exceptional h-index of 64 and a recent h-index of 35 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of statistical inference, networks, algorithms, communications.

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

SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise

Advancing Equality: Harnessing Generative AI to Combat Systemic Racism

Distinguishing the Indistinguishable: Human Expertise in Algorithmic Prediction

Gradient-based empirical risk minimization using local polynomial regression

Unifying epidemic models with mixtures

A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems

Auditing for Human Expertise

{CausalSim}: A Causal Framework for Unbiased {Trace-Driven} Simulation

Devavrat Shah Information

University

Position

___

Citations(all)

21293

Citations(since 2020)

6728

Cited By

17620

hIndex(all)

64

hIndex(since 2020)

35

i10Index(all)

193

i10Index(since 2020)

103

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Devavrat Shah Skills & Research Interests

statistical inference

networks

algorithms

communications

Top articles of Devavrat Shah

Title

Journal

Author(s)

Publication Date

SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise

Advances in Neural Information Processing Systems

Abdullah Alomar

Munther Dahleh

Sean Mann

Devavrat Shah

2024/2/13

Advancing Equality: Harnessing Generative AI to Combat Systemic Racism

Saadia Gabriel

Jessy Xinyi Han

Eric Liu

Isha Puri

Wonyoung So

...

2024/3/27

Distinguishing the Indistinguishable: Human Expertise in Algorithmic Prediction

arXiv preprint arXiv:2402.00793

Rohan Alur

Manish Raghavan

Devavrat Shah

2024/2/1

Gradient-based empirical risk minimization using local polynomial regression

Stochastic Systems

Ali Jadbabaie

Anuran Makur

Devavrat Shah

2024/3/26

Unifying epidemic models with mixtures

IEEE Transactions on Signal and Information Processing over Networks

Arnab Sarker

Ali Jadbabaie

Devavrat Shah

2024/3/11

A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems

arXiv preprint arXiv:2402.14959

Fotini Christia

Jessy Xinyi Han

Andrew Miller

Devavrat Shah

S Craig Watkins

...

2024/2/22

Auditing for Human Expertise

Advances in Neural Information Processing Systems

Rohan Alur

Loren Laine

Darrick Li

Manish Raghavan

Devavrat Shah

...

2024/2/13

{CausalSim}: A Causal Framework for Unbiased {Trace-Driven} Simulation

Abdullah Alomar

Pouya Hamadanian

Arash Nasr-Esfahany

Anish Agarwal

Mohammad Alizadeh

...

2023

Novel Causal Inference Method Estimates Treatment Effects of Contemporary Drugs in a Global Cohort of Patients with Relapsed and Refractory Mature T-Cell and NK-Cell Neoplasms

Blood

Min Jung Koh

Leora Boussi

Jessy Xinyi Han

Luke Peng

Mark N Sorial

...

2023/11/28

A User-Driven Framework for Regulating and Auditing Social Media

arXiv preprint arXiv:2304.10525

Sarah H Cen

Aleksander Madry

Devavrat Shah

2023/4/20

On Computationally Efficient Learning of Exponential Family Distributions

arXiv preprint arXiv:2309.06413

Abhin Shah

Devavrat Shah

Gregory W Wornell

2023/9/12

Predicting Ground Reaction Force from Inertial Sensors

arXiv preprint arXiv:2311.02287

Bowen Song

Marco Paolieri

Harper E Stewart

Leana Golubchik

Jill L McNitt-Gray

...

2023/11/4

Implicit feedback policies for COVID-19: why “zero-COVID” policies remain elusive

Scientific Reports

Ali Jadbabaie

Arnab Sarker

Devavrat Shah

2023/2/23

Causal matrix completion

Anish Agarwal

Munther Dahleh

Devavrat Shah

Dennis Shen

2023/7/12

System and Method for Joining Datasets

2023/10/12

Gradient Descent with Low-Rank Objective Functions

Romain Cosson

Ali Jadbabaie

Anuran Makur

Amirhossein Reisizadeh

Devavrat Shah

2023/12/13

Matrix estimation for individual fairness

Cindy Zhang

Sarah Huiyi Cen

Devavrat Shah

2023/7/3

Event prediction

2023/1/19

Model agnostic time series analysis via matrix estimation

2023/10/3

SIGMETRICS People

Mor Harchol-Balter

Ni3las Carlsson

Anshul Gandhi

Giulia Fanti

Athina Mar3opoulou

...

2023/12

See List of Professors in Devavrat Shah University(Massachusetts Institute of Technology)

Co-Authors

H-index: 138
Stephen Boyd

Stephen Boyd

Stanford University

H-index: 128
Hari Balakrishnan

Hari Balakrishnan

Massachusetts Institute of Technology

H-index: 99
David Karger

David Karger

Massachusetts Institute of Technology

H-index: 90
Michael Mitzenmacher

Michael Mitzenmacher

Harvard University

H-index: 90
Abbas El Gamal

Abbas El Gamal

Stanford University

H-index: 81
Muriel Medard

Muriel Medard

Massachusetts Institute of Technology

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