A First-Order Smoothed Penalty Method for Compressed Sensing. - Necdet S. Aybat; Garud Iyengar (SIAM J. Optim., 2011)

A First-Order Augmented Lagrangian Method for Compressed Sensing. - Necdet S. Aybat; Garud Iyengar (SIAM J. Optim., 2012)

A parallel method for large scale convex regression problems. - Necdet S. Aybat; Zi Wang 007 (CDC, 2014)

Efficient algorithms for robust and stable principal component pursuit problems. - Necdet Serhat Aybat; Donald Goldfarb; Shiqian Ma (Comput. Optim. Appl., 2014)

A unified approach for minimizing composite norms. - Necdet S. Aybat; Garud Iyengar (Math. Program., 2014)

An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization. - Necdet S. Aybat; Zi Wang 007; Garud Iyengar (ICML, 2015)

An ADMM Algorithm for Clustering Partially Observed Networks. - Necdet Serhat Aybat; Sahar Zarmehri; Soundar R. T. Kumara (SDM, 2015)

An alternating direction method with increasing penalty for stable principal component pursuit. - Necdet S. Aybat; Garud Iyengar (Comput. Optim. Appl., 2015)

Semidefinite Programming For Chance Constrained Optimization Over Semialgebraic Sets. - Ashkan M. Jasour; Necdet S. Aybat; Constantino M. Lagoa (SIAM J. Optim., 2015)

Distributed primal-dual method for multi-agent sharing problem with conic constraints. - Necdet Serhat Aybat; Erfan Yazdandoost Hamedani (ACSSC, 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 (ACC, 2016)

A primal-dual method for conic constrained distributed optimization problems. - Necdet Serhat Aybat; Erfan Yazdandoost Hamedani (NIPS, 2016)

Multi-agent constrained optimization of a strongly convex function over time-varying directed networks. - Erfan Yazdandoost Hamedani; Necdet Serhat Aybat (Allerton, 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 (ACC, 2017)

Decentralized computation of effective resistances and acceleration of consensus algorithms. - Necdet Serhat Aybat; Mert Gürbüzbalaban (GlobalSIP, 2017)

Multi-agent constrained optimization of a strongly convex function. - Erfan Yazdandoost Hamedani; Necdet Serhat Aybat (GlobalSIP, 2017)

Non-concave network utility maximization: A distributed optimization approach. - Mahmoud E. Ashour; Jingyao Wang; Constantino Lagoa; Necdet Serhat Aybat; Hao Che (INFOCOM, 2017)

Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants. - Shiqian Ma; Necdet Serhat Aybat (Proc. IEEE, 2018)

Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization. - Necdet Serhat Aybat; Zi Wang 007; Tianyi Lin; Shiqian Ma (IEEE Trans. Autom. Control., 2018)

Lp Quasi-norm Minimization. - Mahmoud E. Ashour; Constantino M. Lagoa; Necdet S. Aybat (ACSSC, 2019)

A Universally Optimal Multistage Accelerated Stochastic Gradient Method. - Necdet Serhat Aybat; Alireza Fallah 001; Mert Gürbüzbalaban; Asuman E. Ozdaglar (NeurIPS, 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 Distributed ADMM-like Method for Resource Sharing over Time-Varying Networks. - Necdet Serhat Aybat; Erfan Yazdandoost Hamedani (SIAM J. Optim., 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)

Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions. - Necdet Serhat Aybat; Alireza Fallah 001; Mert Gürbüzbalaban; Asuman E. Ozdaglar (SIAM J. Optim., 2020)

A Fast Row-Stochastic Decentralized Optimization Method Over Directed Graphs. - Diyako Ghaderyan; Necdet Serhat Aybat; A. Pedro Aguiar; Fernando M. Lobo Pereira (CoRR, 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)

SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems. - Xuan Zhang; Necdet Serhat Aybat; Mert Gürbüzbalaban (NeurIPS, 2022)

A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm. - Bugra Can; Mert Gürbüzbalaban; Necdet Serhat Aybat (CoRR, 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 Decentralized Primal-Dual Method for Constrained Minimization of a Strongly Convex Function. - Erfan Yazdandoost Hamedani; Necdet Serhat Aybat (IEEE Trans. Autom. Control., 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)

Randomized Primal-Dual Methods with Adaptive Step Sizes. - Erfan Yazdandoost Hamedani; Afrooz Jalilzadeh; Necdet S. Aybat (AISTATS, 2023)

Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization. - Xuan Zhang; Gabriel Mancino-Ball; Necdet Serhat Aybat; Yangyang Xu (AAAI, 2024)

High-probability complexity bounds for stochastic non-convex minimax optimization. - Yassine Laguel; Yasa Syed; Necdet Serhat Aybat; Mert Gürbüzbalaban (NeurIPS, 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., 2024)

Robust Accelerated Primal-Dual Methods for Computing Saddle Points. - Xuan Zhang; Necdet Serhat Aybat; Mert Gürbüzbalaban (SIAM J. Optim., 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., 2024)