Necdet Serhat Aybat

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Erfan Yazdandoost HamedaniAssistant Professor, Systems and Industrial Engineering, University of ArizonaVerified email at arizona.edu
Mert GürbüzbalabanRutgers UniversityVerified email at business.rutgers.edu
Garud N. IyengarColumbia UniversityVerified email at columbia.edu
Constantino LagoaThe Pennsylvania State UniversityVerified email at engr.psu.edu
Shiqian MaRice UniversityVerified email at rice.edu
Mahmoud AshourQualcomm Technologies, Inc. Wireless R&DVerified email at qti.qualcomm.com
Xuan ZhangPh.D. Student, The Pennsylvania State UniversityVerified email at psu.edu
Alireza FallahUC BerkeleyVerified email at berkeley.edu
Asuman OzdaglarMathworks Professor, EECS, MITVerified email at mit.edu
Uday V. ShanbhagProfessor, Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI.Verified email at umich.edu
Afrooz JalilzadehThe University of ArizonaVerified email at email.arizona.edu
Ashkan M. JasourCaltech, MITVerified email at csail.mit.edu
Tianyi LinColumbia UniversityVerified email at columbia.edu
Donald GoldfarbColumbia UniversityVerified email at columbia.edu
Thierry BOUWMANSLaboratoire MIA, La Rochelle UniversitéVerified email at univ-lr.fr
Elhadi Zahzahuniversité de la rochelleVerified email at univ-lr.fr
Sam Davanloo TajbakhshThe Ohio State UniversityVerified email at osu.edu
Enrique del CastilloDistinguished Professor, Industrial Engineering & Statistics depts., Penn State UniversityVerified email at psu.edu
BUGRA CANRutgers UniversityVerified email at scarletmail.rutgers.edu
A. Pedro AguiarProfessor of Electrical and Computer Engineering, Faculty of Engineering, University of PortoVerified email at fe.up.pt

Necdet Serhat Aybat

Industrial and Manufacturing Engineering, Penn State University

Verified email at psu.edu - Homepage

Convex Optimization Large Scale Optimization


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A Primal-Dual Algorithm with Line Search for General Convex-Concave Saddle Point Problems EY Hamedani, NS Aybat SIAM Journal on Optimization 31 (2), 1299-1329, 2021	166	2021
Distributed linearized alternating direction method of multipliers for composite convex consensus optimization NS Aybat, Z Wang, T Lin, S Ma IEEE Transactions on Automatic Control 63 (1), 5-20, 2017	159	2017
Handbook of robust low-rank and sparse matrix decomposition: Applications in image and video processing T Bouwmans, NS Aybat, E Zahzah CRC Press, 2016	136	2016
Semidefinite Programming For Chance Constrained Optimization Over Semialgebraic Sets AM Jasour, NS Aybat, CM Lagoa SIAM Journal on Optimization 25 (3), 1411-1440, 2015	71	2015
Robust accelerated gradient methods for smooth strongly convex functions NS Aybat, A Fallah, M Gurbuzbalaban, A Ozdaglar SIAM Journal on Optimization 30 (1), 717-751, 2020	66	2020
A universally optimal multistage accelerated stochastic gradient method NS Aybat, A Fallah, M Gurbuzbalaban, A Ozdaglar Advances in Neural Information Processing Systems, 8525-8536, 2019	63	2019
Efficient optimization algorithms for robust principal component analysis and its variants S Ma, NS Aybat Proceedings of the IEEE 106 (8), 1411-1426, 2018	59	2018
An alternating direction method with increasing penalty for stable principal component pursuit NS Aybat, G Iyengar Computational Optimization and Applications 61 (3), 635-668, 2015	51	2015
A first-order augmented Lagrangian method for compressed sensing NS Aybat, G Iyengar SIAM Journal on Optimization 22 (2), 429-459, 2012	51	2012
A distributed ADMM-like method for resource sharing under conic constraints over time-varying networks NS Aybat, EY Hamedani SIAM Journal on Optimization 29 (4), 3036-3068, 2019	50	2019
A primal-dual method for conic constrained distributed optimization problems NS Aybat, EY Hamedani Advances in Neural Information Processing Systems, 5049-5057, 2016	50	2016
An asynchronous distributed proximal gradient method for composite convex optimization N Aybat, Z Wang, G Iyengar Proceedings of the 32nd International Conference on Machine Learning (ICML …, 2015	45	2015
Efficient algorithms for robust and stable principal component pursuit problems NS Aybat, D Goldfarb, S Ma Computational Optimization and Applications 58 (1), 1-29, 2014	45*	2014
A first-order smoothed penalty method for compressed sensing NS Aybat, G Iyengar SIAM Journal on Optimization 21 (1), 287-313, 2011	44	2011
A unified approach for minimizing composite norms NS Aybat, G Iyengar Mathematical Programming 144 (1-2), 181-226, 2014	33	2014
An Augmented Lagrangian Method for Conic Convex Programming NS Aybat, G Iyengar arXiv preprint arXiv:1302.6322, 2013	33	2013
Randomized Primal-Dual Methods with Adaptive Step Sizes EY Hamedani, A Jalilzadeh, NS Aybat Proceedings of The 26th International Conference on Artificial Intelligence …, 2023	32*	2023
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems X Zhang, NS Aybat, M Gurbuzbalaban Advances in Neural Information Processing Systems, 2022	32	2022
Fast first-order methods for stable principal component pursuit NS Aybat, D Goldfarb, G Iyengar arXiv preprint arXiv:1105.2126, 2011	32	2011
Robust Accelerated Primal-Dual Methods for Computing Saddle Points X Zhang, NS Aybat, M Gürbüzbalaban accepted to SIAM Journal on Optimization (arXiv preprint arXiv:2111.12743), 2021	23	2021

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