Necdet Serhat Aybat

33 papers A* 5A 1C 1Misc 1Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accelerated Gradient Methods with Biased Gradient Estimates: Risk Sensitivity, High-Probability Guarantees, and Large Deviation Bounds.
CoRR
Mert Gürbüzbalaban, Yasa Syed, Necdet Serhat Aybat
2024 J jnl
A Fast Row-Stochastic Decentralized Method for Distributed Optimization Over Directed Graphs.
IEEE Trans. Autom. Control.
Diyako Ghaderyan, Necdet Serhat Aybat, A. Pedro Aguiar, Fernando M. Lobo Pereira
2024 J jnl
High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method.
J. Mach. Learn. Res.
Yassine Laguel, Necdet Serhat Aybat, Mert Gürbüzbalaban
2024 A* conf
High-probability complexity bounds for stochastic non-convex minimax optimization.
NeurIPS
Yassine Laguel, Yasa Syed, Necdet Serhat Aybat, Mert Gürbüzbalaban
2024 A* conf
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization.
AAAI
Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat, Yangyang Xu
2024 J jnl
Lp quasi-norm minimization: algorithm and applications.
EURASIP J. Adv. Signal Process.
Omar M. Sleem, Mahmoud E. Ashour, Necdet Serhat Aybat, Constantino M. Lagoa
2024 J jnl
Robust Accelerated Primal-Dual Methods for Computing Saddle Points.
SIAM J. Optim.
Xuan Zhang, Necdet Serhat Aybat, Mert Gürbüzbalaban
2022 J jnl
A Decentralized Primal-Dual Method for Constrained Minimization of a Strongly Convex Function.
IEEE Trans. Autom. Control.
Erfan Yazdandoost Hamedani, Necdet Serhat Aybat
2022 J jnl
A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm.
CoRR
Bugra Can, Mert Gürbüzbalaban, Necdet Serhat Aybat
2022 J jnl
On the Analysis of Inexact Augmented Lagrangian Schemes for Misspecified Conic Convex Programs.
IEEE Trans. Autom. Control.
Necdet Serhat Aybat, Hesam Ahmadi, Uday V. Shanbhag
2022 J jnl
Randomized Gossiping With Effective Resistance Weights: Performance Guarantees and Applications.
IEEE Trans. Control. Netw. Syst.
Bugra Can, Saeed Soori, Necdet Serhat Aybat, Maryam Mehri Dehnavi, Mert Gürbüzbalaban
2022 A* conf
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems.
NeurIPS
Xuan Zhang, Necdet Serhat Aybat, Mert Gürbüzbalaban
2021 J jnl
A Fast Row-Stochastic Decentralized Optimization Method Over Directed Graphs.
CoRR
Diyako Ghaderyan, Necdet Serhat Aybat, A. Pedro Aguiar, Fernando M. Lobo Pereira
2021 J jnl
A Primal-Dual Algorithm with Line Search for General Convex-Concave Saddle Point Problems.
SIAM J. Optim.
Erfan Yazdandoost Hamedani, Necdet Serhat Aybat
2020 J jnl
Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions.
SIAM J. Optim.
Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar
2019 J jnl
A Distributed ADMM-like Method for Resource Sharing over Time-Varying Networks.
SIAM J. Optim.
Necdet Serhat Aybat, Erfan Yazdandoost Hamedani
2019 A* conf
A Universally Optimal Multistage Accelerated Stochastic Gradient Method.
NeurIPS
Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar
2019 J jnl
A Universally Optimal Multistage Accelerated Stochastic Gradient Method.
CoRR
Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar
2019 J jnl
A fully distributed traffic allocation algorithm for nonconcave utility maximization in connectionless communication networks.
Autom.
Jingyao Wang, Mahmoud E. Ashour, Constantino M. Lagoa, Necdet Serhat Aybat, Hao Che
2019 J jnl
End-to-End Distributed Flow Control for Networks with Nonconcave Utilities.
IEEE Trans. Netw. Sci. Eng.
Mahmoud E. Ashour, Jingyao Wang, Necdet Serhat Aybat, Constantino Lagoa, Hao Che
2018 J jnl
Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization.
IEEE Trans. Autom. Control.
Necdet Serhat Aybat, Zi Wang, Tianyi Lin, Shiqian Ma
2018 J jnl
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants.
CoRR
Shiqian Ma, Necdet Serhat Aybat
2018 J jnl
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants.
Proc. IEEE
Shiqian Ma, Necdet Serhat Aybat
2018 J jnl
Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions.
CoRR
Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar
2017 — conf
Decentralized computation of effective resistances and acceleration of consensus algorithms.
GlobalSIP
Necdet Serhat Aybat, Mert Gürbüzbalaban
2017 — conf
Multi-agent constrained optimization of a strongly convex function over time-varying directed networks.
Allerton
Erfan Yazdandoost Hamedani, Necdet Serhat Aybat
2017 — conf
Multi-agent constrained optimization of a strongly convex function.
GlobalSIP
Erfan Yazdandoost Hamedani, Necdet Serhat Aybat
2017 A* conf
Non-concave network utility maximization: A distributed optimization approach.
INFOCOM
Mahmoud E. Ashour, Jingyao Wang, Constantino Lagoa, Necdet Serhat Aybat, Hao Che
2016 — conf
A primal-dual method for conic constrained distributed optimization problems.
NIPS
Necdet Serhat Aybat, Erfan Yazdandoost Hamedani
2016 Misc conf
Distributed primal-dual method for multi-agent sharing problem with conic constraints.
ACSSC
Necdet Serhat Aybat, Erfan Yazdandoost Hamedani
2016 C conf
On the rate analysis of inexact augmented Lagrangian schemes for convex optimization problems with misspecified constraints.
ACC
Hesam Ahmadi, Necdet Serhat Aybat, Uday V. Shanbhag
2015 A conf
An ADMM Algorithm for Clustering Partially Observed Networks.
SDM
Necdet Serhat Aybat, Sahar Zarmehri, Soundar R. T. Kumara
2014 J jnl
Efficient algorithms for robust and stable principal component pursuit problems.
Comput. Optim. Appl.
Necdet Serhat Aybat, Donald Goldfarb, Shiqian Ma