Ali Jadbabaie

Ali Jadbabaie

Massachusetts Institute of Technology

H-index: 71

North America-United States

About Ali Jadbabaie

Ali Jadbabaie, With an exceptional h-index of 71 and a recent h-index of 47 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of systems and control, network science, network economics, optimization, dynamical systems.

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

Convex and non-convex optimization under generalized smoothness

Gradient-based empirical risk minimization using local polynomial regression

Demystifying oversmoothing in attention-based graph neural networks

Belief Samples Are All You Need For Social Learning

Convergence of Adam under relaxed assumptions

Higher-order homophily on simplicial complexes

Unifying epidemic models with mixtures

Provable guarantees for generative behavior cloning: Bridging low-level stability and high-level behavior

Ali Jadbabaie Information

University

Position

JR East Professor of Engineering

Citations(all)

30768

Citations(since 2020)

11161

Cited By

24450

hIndex(all)

71

hIndex(since 2020)

47

i10Index(all)

197

i10Index(since 2020)

123

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Ali Jadbabaie Skills & Research Interests

systems and control

network science

network economics

optimization

dynamical systems

Top articles of Ali Jadbabaie

Title

Journal

Author(s)

Publication Date

Convex and non-convex optimization under generalized smoothness

Advances in Neural Information Processing Systems

Haochuan Li

Jian Qian

Yi Tian

Alexander Rakhlin

Ali Jadbabaie

2024/2/13

Gradient-based empirical risk minimization using local polynomial regression

Stochastic Systems

Ali Jadbabaie

Anuran Makur

Devavrat Shah

2024/3/26

Demystifying oversmoothing in attention-based graph neural networks

Advances in Neural Information Processing Systems

Xinyi Wu

Amir Ajorlou

Zihui Wu

Ali Jadbabaie

2024/2/13

Belief Samples Are All You Need For Social Learning

arXiv preprint arXiv:2403.17174

Mahyar JafariNodeh

Amir Ajorlou

Ali Jadbabaie

2024/3/25

Convergence of Adam under relaxed assumptions

Advances in Neural Information Processing Systems

Haochuan Li

Alexander Rakhlin

Ali Jadbabaie

2024/2/13

Higher-order homophily on simplicial complexes

Proceedings of the National Academy of Sciences

Arnab Sarker

Natalie Northrup

Ali Jadbabaie

2024/3/19

Unifying epidemic models with mixtures

IEEE Transactions on Signal and Information Processing over Networks

Arnab Sarker

Ali Jadbabaie

Devavrat Shah

2024/3/11

Provable guarantees for generative behavior cloning: Bridging low-level stability and high-level behavior

Advances in Neural Information Processing Systems

Adam Block

Ali Jadbabaie

Daniel Pfrommer

Max Simchowitz

Russ Tedrake

2024/2/13

Low-Rank Gradient Descent

IEEE Open Journal of Control Systems

Romain Cosson

Ali Jadbabaie

Anuran Makur

Amirhossein Reisizadeh

Devavrat Shah

2023/9/13

Stochastic opinion dynamics under social pressure in arbitrary networks

Jennifer Tang

Aviv Adler

Amir Ajorlou

Ali Jadbabaie

2023/12/13

Control for societal-scale challenges: Road map 2030

Andrew Alleyne

Frank Allgöwer

Aaron Ames

Saurabh Amin

James Anderson

...

2023/5

Network realization functions for optimal distributed control

IEEE Transactions on Automatic Control

Serban Sabau

Andrei Sperila

Cristian Oara

Ali Jadbabaie

2023/7/24

GAT–GMM: Generative Adversarial Training for Gaussian Mixture Models

SIAM Journal on Mathematics of Data Science

Farzan Farnia

William W Wang

Subhro Das

Ali Jadbabaie

2023/3/31

Estimating True Beliefs from Declared Opinions

arXiv preprint arXiv:2310.17171

Jennifer Tang

Aviv Adler

Amir Ajorlou

Ali Jadbabaie

2023/10/26

Model Predictive Control via On-Policy Imitation Learning

arXiv preprint arXiv:2210.09206

Kwangjun Ahn

Zakaria Mhammedi

Horia Mania

Zhang-Wei Hong

Ali Jadbabaie

2022/10/17

Linear attention is (maybe) all you need (to understand transformer optimization)

Kwangjun Ahn

Xiang Cheng

Minhak Song

Chulhee Yun

Ali Jadbabaie

...

2023/10/2

Variance-reduced clipping for non-convex optimization

arXiv preprint arXiv:2303.00883

Amirhossein Reisizadeh

Haochuan Li

Subhro Das

Ali Jadbabaie

2023/3/2

Sales-Based Rebate Design

Management Science

Amir Ajorlou

Ali Jadbabaie

2023/10

Smooth Model Predictive Control with Applications to Statistical Learning

arXiv preprint arXiv:2306.01914

Kwangjun Ahn

Daniel Pfrommer

Jack Umenberger

Tobia Marcucci

Zak Mhammedi

...

2023/6/2

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

Scientific Reports

Ali Jadbabaie

Arnab Sarker

Devavrat Shah

2023/2/23

See List of Professors in Ali Jadbabaie University(Massachusetts Institute of Technology)

Co-Authors

H-index: 130
Vijay Kumar

Vijay Kumar

University of Pennsylvania

H-index: 108
John Hauser

John Hauser

University of Colorado Boulder

H-index: 105
George J. Pappas

George J. Pappas

University of Pennsylvania

H-index: 85
A Stephen Morse

A Stephen Morse

Yale University

H-index: 74
Asuman Ozdaglar

Asuman Ozdaglar

Massachusetts Institute of Technology

H-index: 71
Alejandro Ribeiro

Alejandro Ribeiro

University of Pennsylvania

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