Necdet Serhat Aybat

33 papers A* 5A 1C 1Misc 1Journal 21Unranked 4

Year	Rank	Type	Title / 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