Suivre
Necdet Serhat Aybat
Necdet Serhat Aybat
Industrial Engineering, Penn State University
Adresse e-mail validée de psu.edu - Page d'accueil
Titre
Citée par
Citée par
Année
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
1222017
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
112*2021
Handbook of robust low-rank and sparse matrix decomposition: Applications in image and video processing
T Bouwmans, NS Aybat, E Zahzah
CRC Press, 2016
982016
Semidefinite Programming For Chance Constrained Optimization Over Semialgebraic Sets
AM Jasour, NS Aybat, CM Lagoa
SIAM Journal on Optimization 25 (3), 1411-1440, 2015
552015
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
492020
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
472015
A first-order augmented Lagrangian method for compressed sensing
NS Aybat, G Iyengar
SIAM Journal on Optimization 22 (2), 429-459, 2012
452012
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
43*2014
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
422019
A first-order smoothed penalty method for compressed sensing
NS Aybat, G Iyengar
SIAM Journal on Optimization 21 (1), 287-313, 2011
392011
Efficient optimization algorithms for robust principal component analysis and its variants
S Ma, NS Aybat
Proceedings of the IEEE 106 (8), 1411-1426, 2018
382018
A primal-dual method for conic constrained distributed optimization problems
NS Aybat, EY Hamedani
Advances in Neural Information Processing Systems, 5049-5057, 2016
332016
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
332015
A unified approach for minimizing composite norms
NS Aybat, G Iyengar
Mathematical Programming 144 (1-2), 181-226, 2014
332014
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
322019
An Augmented Lagrangian Method for Conic Convex Programming
NS Aybat, G Iyengar
arXiv preprint arXiv:1302.6322, 2013
292013
Fast first-order methods for stable principal component pursuit
NS Aybat, D Goldfarb, G Iyengar
arXiv preprint arXiv:1105.2126, 2011
282011
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
232018
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach
SD Tajbakhsh, NS Aybat, E Del Castillo
Journal of Machine Learning Research 21 (217), 1-41, 2020
17*2020
Distributed primal-dual method for multi-agent sharing problem with conic constraints
NS Aybat, EY Hamedani
2016 50th Asilomar Conference on Signals, Systems and Computers, 777-782, 2016
172016
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20