Necdet Serhat Aybat
Necdet Serhat Aybat
Industrial Engineering, Penn State University
Verified email at psu.edu - Homepage
Title
Cited by
Cited by
Year
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
892017
Handbook of robust low-rank and sparse matrix decomposition: Applications in image and video processing
T Bouwmans, NS Aybat, E Zahzah
CRC Press, 2016
762016
A Primal-Dual Algorithm for General Convex-Concave Saddle Point Problems
EY Hamedani, NS Aybat
arXiv preprint arXiv:1803.01401, 2018
502018
Semidefinite Programming For Chance Constrained Optimization Over Semialgebraic Sets
AM Jasour, NS Aybat, CM Lagoa
SIAM Journal on Optimization 25 (3), 1411-1440, 2015
462015
A first-order augmented Lagrangian method for compressed sensing
NS Aybat, G Iyengar
SIAM Journal on Optimization 22 (2), 429-459, 2012
422012
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
412015
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
40*2014
A first-order smoothed penalty method for compressed sensing
NS Aybat, G Iyengar
SIAM Journal on Optimization 21 (1), 287-313, 2011
342011
A primal-dual method for conic constrained distributed optimization problems
NS Aybat, EY Hamedani
Advances in Neural Information Processing Systems, 5049-5057, 2016
312016
A unified approach for minimizing composite norms
NS Aybat, G Iyengar
Mathematical Programming 144 (1-2), 181-226, 2014
312014
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
292015
An Augmented Lagrangian Method for Conic Convex Programming
NS Aybat, G Iyengar
arXiv preprint arXiv:1302.6322, 2013
282013
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
26*2020
Fast first-order methods for stable principal component pursuit
NS Aybat, D Goldfarb, G Iyengar
arXiv preprint arXiv:1105.2126, 2011
262011
Efficient optimization algorithms for robust principal component analysis and its variants
S Ma, NS Aybat
Proceedings of the IEEE 106 (8), 1411-1426, 2018
242018
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
232019
A distributed ADMM-like method for resource sharing under conic constraints over time-varying networks
NS Aybat, EY Hamedani
arXiv preprint arXiv:1611.07393, 2016
18*2016
Iteration Complexity of Randomized Primal-Dual Methods for Convex-Concave Saddle Point Problems
EY Hamedani, A Jalilzadeh, NS Aybat, UV Shanbhag
arXiv preprint arXiv:1806.04118, 2018
172018
Sparse Precision Matrix Selection for Fitting Gaussian Random Field Models to Large Data Sets
SD Tajbakhsh, NS Aybat, E Del Castillo
arXiv preprint arXiv:1405.5576, 2014
142014
A parallel method for large scale convex regression problems
NS Aybat, Z Wang
53rd IEEE Conference on Decision and Control, 5710-5717, 2014
112014
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Articles 1–20