Necdet Serhat Aybat

According to our database, Necdet Serhat Aybat authored at least 36 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Lp quasi-norm minimization: algorithm and applications.

Omar M. Sleem, Mahmoud E. Ashour, Necdet Serhat Aybat, Constantino M. Lagoa

EURASIP J. Adv. Signal Process., December, 2024

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

Diyako Ghaderyan, Necdet Serhat Aybat, A. Pedro Aguiar, Fernando M. Lobo Pereira

IEEE Trans. Autom. Control., January, 2024

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

Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat, Yangyang Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Randomized Primal-Dual Methods with Adaptive Step Sizes.

Erfan Yazdandoost Hamedani, Afrooz Jalilzadeh, Necdet S. Aybat

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Randomized Gossiping With Effective Resistance Weights: Performance Guarantees and Applications.

Bugra Can, Saeed Soori, Necdet Serhat Aybat, Maryam Mehri Dehnavi, Mert Gürbüzbalaban

IEEE Trans. Control. Netw. Syst., 2022

A Decentralized Primal-Dual Method for Constrained Minimization of a Strongly Convex Function.

Erfan Yazdandoost Hamedani, Necdet Serhat Aybat

IEEE Trans. Autom. Control., 2022

On the Analysis of Inexact Augmented Lagrangian Schemes for Misspecified Conic Convex Programs.

Necdet Serhat Aybat, Hesam Ahmadi, Uday V. Shanbhag

IEEE Trans. Autom. Control., 2022

A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm.

Bugra Can, Mert Gürbüzbalaban, Necdet Serhat Aybat

CoRR, 2022

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

Xuan Zhang, Necdet Serhat Aybat, Mert Gürbüzbalaban

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

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

Erfan Yazdandoost Hamedani, Necdet Serhat Aybat

SIAM J. Optim., 2021

A Fast Row-Stochastic Decentralized Optimization Method Over Directed Graphs.

Diyako Ghaderyan, Necdet Serhat Aybat, A. Pedro Aguiar, Fernando M. Lobo Pereira

CoRR, 2021

2020

Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions.

Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar

SIAM J. Optim., 2020

2019

End-to-End Distributed Flow Control for Networks with Nonconcave Utilities.

Mahmoud E. Ashour, Jingyao Wang, Necdet Serhat Aybat, Constantino Lagoa, Hao Che

IEEE Trans. Netw. Sci. Eng., 2019

A Distributed ADMM-like Method for Resource Sharing over Time-Varying Networks.

Necdet Serhat Aybat, Erfan Yazdandoost Hamedani

SIAM J. Optim., 2019

A fully distributed traffic allocation algorithm for nonconcave utility maximization in connectionless communication networks.

Jingyao Wang, Mahmoud E. Ashour, Constantino M. Lagoa, Necdet Serhat Aybat, Hao Che

Autom., 2019

A Universally Optimal Multistage Accelerated Stochastic Gradient Method.

Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Lp Quasi-norm Minimization.

Mahmoud E. Ashour, Constantino M. Lagoa, Necdet S. Aybat

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization.

Necdet Serhat Aybat, Zi Wang, Tianyi Lin, Shiqian Ma

IEEE Trans. Autom. Control., 2018

Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants.

Shiqian Ma, Necdet Serhat Aybat

Proc. IEEE, 2018

2017

Non-concave network utility maximization: A distributed optimization approach.

Mahmoud E. Ashour, Jingyao Wang, Constantino Lagoa, Necdet Serhat Aybat, Hao Che

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Multi-agent constrained optimization of a strongly convex function.

Erfan Yazdandoost Hamedani, Necdet Serhat Aybat

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Decentralized computation of effective resistances and acceleration of consensus algorithms.

Necdet Serhat Aybat, Mert Gürbüzbalaban

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Non-concave network utility maximization in connectionless networks: A fully distributed traffic allocation algorithm.

Jingyao Wang, Mahmoud E. Ashour, Constantino Lagoa, Necdet S. Aybat, Hao Che, Zhisheng Duan

Proceedings of the 2017 American Control Conference, 2017

Multi-agent constrained optimization of a strongly convex function over time-varying directed networks.

Erfan Yazdandoost Hamedani, Necdet Serhat Aybat

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

A primal-dual method for conic constrained distributed optimization problems.

Necdet Serhat Aybat, Erfan Yazdandoost Hamedani

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

On the rate analysis of inexact augmented Lagrangian schemes for convex optimization problems with misspecified constraints.

Hesam Ahmadi, Necdet Serhat Aybat, Uday V. Shanbhag

Proceedings of the 2016 American Control Conference, 2016

Distributed primal-dual method for multi-agent sharing problem with conic constraints.

Necdet Serhat Aybat, Erfan Yazdandoost Hamedani

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Semidefinite Programming For Chance Constrained Optimization Over Semialgebraic Sets.

Ashkan M. Jasour, Necdet S. Aybat, Constantino M. Lagoa

SIAM J. Optim., 2015

An alternating direction method with increasing penalty for stable principal component pursuit.

Necdet S. Aybat, Garud Iyengar

Comput. Optim. Appl., 2015

An ADMM Algorithm for Clustering Partially Observed Networks.

Necdet Serhat Aybat, Sahar Zarmehri, Soundar R. T. Kumara

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization.

Necdet S. Aybat, Zi Wang, Garud Iyengar

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

A unified approach for minimizing composite norms.

Necdet S. Aybat, Garud Iyengar

Math. Program., 2014

Efficient algorithms for robust and stable principal component pursuit problems.

Necdet Serhat Aybat, Donald Goldfarb, Shiqian Ma

Comput. Optim. Appl., 2014

A parallel method for large scale convex regression problems.

Necdet S. Aybat, Zi Wang

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2012

A First-Order Augmented Lagrangian Method for Compressed Sensing.

Necdet S. Aybat, Garud Iyengar

SIAM J. Optim., 2012

2011

A First-Order Smoothed Penalty Method for Compressed Sensing.

Necdet S. Aybat, Garud Iyengar

SIAM J. Optim., 2011