Aryan Mokhtari
Aryan Mokhtari
Assistant Professor, ECE, University of Texas at Austin
Verified email at austin.utexas.edu - Homepage
TitleCited byYear
RES: Regularized Stochastic BFGS Algorithm
A Mokhtari, A Ribeiro
IEEE Transactions on Signal Processing 62 (23), 6089-6104, 2014
932014
Global Convergence of Online Limited Memory BFGS
A Mokhtari, A Ribeiro
Journal of Machine Learning Research 16, 3151-3181, 2015
842015
DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers
A Mokhtari, W Shi, Q Ling, A Ribeiro
IEEE Transactions on Signal Processing 64 (19), 5158-5173, 2016
682016
DSA: Decentralized Double Stochastic Averaging Gradient Algorithm
A Mokhtari, A Ribeiro
Journal of Machine Learning Research 17 (61), 1-35, 2016
652016
Network Newton distributed optimization methods
A Mokhtari, Q Ling, A Ribeiro
IEEE Transactions on Signal Processing 65 (1), 146-161, 2017
572017
A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization
A Mokhtari, W Shi, Q Ling, A Ribeiro
IEEE Transactions on Signal and Information Processing over Networks 2 (4 c, 2016
562016
Online Optimization in Dynamic Environments: Improved Regret Rates for Strongly Convex Problems
A Mokhtari, S Shahrampour, A Jadbabaie, A Ribeiro
Decision and Control (CDC), 2016 IEEE 55th Conference on, 7195-7201, 2016
512016
Decentralized Quasi-Newton Methods
M Eisen, A Mokhtari, A Ribeiro
IEEE Transactions on Signal Processing 65 (10), 2613 - 2628, 2017
472017
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization
A Simonetto, A Mokhtari, A Koppel, G Leus, A Ribeiro
IEEE Transactions on Signal Processing 64 (17), 4576-4591, 2016
472016
Doubly Random Parallel Stochastic Methods for Large Scale Learning
A Mokhtari, A Koppel, A Ribeiro
2016 American Control Conference (ACC), 4847-4852, 2016
27*2016
Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization
A Simonetto, A Mokhtari, A Koppel, G Leus, A Ribeiro
IEEE Transactions on Automatic Control 62 (11), 5724-5738, 2017
252017
Network newton-part i: Algorithm and convergence
A Mokhtari, Q Ling, A Ribeiro
arXiv preprint arXiv:1504.06017, 2015
252015
An approximate Newton method for distributed optimization
A Mokhtari, Q Ling, A Ribeiro
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International c, 2015
232015
Direct Runge-Kutta Discretization Achieves Acceleration
J Zhang, A Mokhtari, S Sra, A Jadbabaie
Advances in Neural Information Processing Systems, 3904-3913, 2018
222018
Stochastic averaging for constrained optimization with application to online resource allocation
T Chen, A Mokhtari, X Wang, A Ribeiro, GB Giannakis
IEEE Transactions on Signal Processing 65 (12), 3078-3093, 2017
212017
IQN: An incremental quasi-Newton method with local superlinear convergence rate
A Mokhtari, M Eisen, A Ribeiro
SIAM Journal on Optimization 28 (2), 1670-1698, 2018
202018
Adaptive Newton method for empirical risk minimization to statistical accuracy
A Mokhtari, H Daneshmand, A Lucchi, T Hofmann, A Ribeiro
Advances in Neural Information Processing Systems (NIPS), 4062-4070, 2016
202016
Network newton-part ii: Convergence rate and implementation
A Mokhtari, Q Ling, A Ribeiro
arXiv preprint arXiv:1504.06020, 2015
192015
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap
A Mokhtari, H Hassani, A Karbasi
International Conference on Artificial Intelligence and Statistics (AISTATS c, 2018
172018
Surpassing gradient descent provably: A cyclic incremental method with linear convergence rate
A Mokhtari, M Gürbüzbalaban, A Ribeiro
SIAM Journal on Optimization 28 (2), 1420-1447, 2018
15*2018
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