Necdet Serhat Aybat

Necdet Serhat Aybat

Penn State University

H-index: 19

North America-United States

About Necdet Serhat Aybat

Necdet Serhat Aybat, With an exceptional h-index of 19 and a recent h-index of 16 (since 2020), a distinguished researcher at Penn State University, specializes in the field of Convex Optimization, Large Scale Optimization.

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

Lp quasi-norm minimization: algorithm and applications

A Stochastic GDA Method With Backtracking For Solving Nonconvex (Strongly) Concave Minimax Problems

Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization

A Fast Row-Stochastic Decentralized Method for Distributed Optimization Over Directed Graphs

High probability and risk-averse guarantees for stochastic saddle point problems

Randomized Primal-Dual Methods with Adaptive Step Sizes

SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems

A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm

Necdet Serhat Aybat Information

University

Position

Industrial Engineering

Citations(all)

1251

Citations(since 2020)

911

Cited By

765

hIndex(all)

19

hIndex(since 2020)

16

i10Index(all)

27

i10Index(since 2020)

24

Email

University Profile Page

Penn State University

Google Scholar

View Google Scholar Profile

Necdet Serhat Aybat Skills & Research Interests

Convex Optimization

Large Scale Optimization

Top articles of Necdet Serhat Aybat

Title

Journal

Author(s)

Publication Date

Lp quasi-norm minimization: algorithm and applications

EURASIP Journal on Advances in Signal Processing

Omar M Sleem

ME Ashour

NS Aybat

Constantino M Lagoa

2024/2/7

A Stochastic GDA Method With Backtracking For Solving Nonconvex (Strongly) Concave Minimax Problems

arXiv preprint arXiv:2403.07806

Qiushui Xu

Xuan Zhang

Necdet Serhat Aybat

Mert Gürbüzbalaban

2024/3/12

Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization

Xuan Zhang

Gabriel Mancino-Ball

Necdet Serhat Aybat

Yangyang Xu

2023/7/18

A Fast Row-Stochastic Decentralized Method for Distributed Optimization Over Directed Graphs

IEEE Transactions on Automatic Control

Diyako Ghaderyan

Necdet Serhat Aybat

A Pedro Aguiar

Fernando Lobo Pereira

2023/5/15

High probability and risk-averse guarantees for stochastic saddle point problems

arXiv preprint arXiv:2304.00444

Yassine Laguel

Necdet Serhat Aybat

Mert Gürbüzbalaban

2023/4/2

Randomized Primal-Dual Methods with Adaptive Step Sizes

E Yazdandoost Hamedani

A Jalilzadeh

NS Aybat

2023

SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems

Advances in Neural Information Processing Systems

Xuan Zhang

Necdet Serhat Aybat

Mert Gurbuzbalaban

2022/5/30

A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm

arXiv preprint arXiv:2202.09688

Bugra Can

Mert Gurbuzbalaban

Necdet Serhat Aybat

2022/2/19

A decentralized primal-dual method for constrained minimization of a strongly convex function

IEEE Transactions on Automatic Control

Erfan Yazdandoost Hamedani

Necdet Serhat Aybat

2022

A Primal-Dual Algorithm with Line Search for General Convex-Concave Saddle Point Problems

SIAM Journal on Optimization

Erfan Yazdandoost Hamedani

Necdet Serhat Aybat

2021

Robust Accelerated Primal-Dual Methods for Computing Saddle Points

accepted to SIAM Journal on Optimization (arXiv preprint arXiv:2111.12743)

Xuan Zhang

Necdet Serhat Aybat

Mert Gürbüzbalaban

2021/11/24

On the analysis of inexact augmented Lagrangian schemes for misspecified conic convex programs

IEEE Transactions on Automatic Control

Necdet Serhat Aybat

Hesam Ahmadi

Uday V Shanbhag

2021/10/6

On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach

Journal of Machine Learning Research

Sam Davanloo Tajbakhsh

Necdet Serhat Aybat

Enrique Del Castillo

2020

Robust accelerated gradient methods for smooth strongly convex functions

SIAM Journal on Optimization

Necdet Serhat Aybat

Alireza Fallah

Mert Gurbuzbalaban

Asuman Ozdaglar

2020

See List of Professors in Necdet Serhat Aybat University(Penn State University)

Co-Authors

H-index: 74
Asuman Ozdaglar

Asuman Ozdaglar

Massachusetts Institute of Technology

H-index: 58
Donald Goldfarb

Donald Goldfarb

Columbia University in the City of New York

H-index: 43
Enrique del Castillo

Enrique del Castillo

Penn State University

H-index: 39
Shiqian Ma

Shiqian Ma

University of California, Davis

H-index: 34
Garud N. Iyengar

Garud N. Iyengar

Columbia University in the City of New York

H-index: 33
Uday V. Shanbhag

Uday V. Shanbhag

Penn State University

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