Aryan Mokhtari
Aryan Mokhtari
Assistant Professor, ECE, University of Texas at Austin
Verifierad e-postadress på austin.utexas.edu - Startsida
TitelCiteras avÅr
RES: Regularized Stochastic BFGS Algorithm
A Mokhtari, A Ribeiro
IEEE Transactions on Signal Processing 62 (23), 6089-6104, 2014
1112014
Global Convergence of Online Limited Memory BFGS
A Mokhtari, A Ribeiro
Journal of Machine Learning Research 16, 3151-3181, 2015
962015
DSA: Decentralized Double Stochastic Averaging Gradient Algorithm
A Mokhtari, A Ribeiro
Journal of Machine Learning Research 17 (61), 1-35, 2016
832016
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
762016
Network Newton distributed optimization methods
A Mokhtari, Q Ling, A Ribeiro
IEEE Transactions on Signal Processing 65 (1), 146-161, 2017
732017
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
632016
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 …, 2016
632016
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
582016
Decentralized Quasi-Newton Methods
M Eisen, A Mokhtari, A Ribeiro
IEEE Transactions on Signal Processing 65 (10), 2613 - 2628, 2017
542017
Doubly Random Parallel Stochastic Methods for Large Scale Learning
A Mokhtari, A Koppel, A Ribeiro
2016 American Control Conference (ACC), 4847-4852, 2016
32*2016
A unified analysis of extra-gradient and optimistic gradient methods for saddle point problems: Proximal point approach
A Mokhtari, A Ozdaglar, S Pattathil
arXiv preprint arXiv:1901.08511, 2019
312019
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
302017
Direct Runge-Kutta Discretization Achieves Acceleration
J Zhang, A Mokhtari, S Sra, A Jadbabaie
Advances in Neural Information Processing Systems, 3904-3913, 2018
292018
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
272018
Network newton-part i: Algorithm and convergence
A Mokhtari, Q Ling, A Ribeiro
arXiv preprint arXiv:1504.06017, 2015
262015
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap
A Mokhtari, H Hassani, A Karbasi
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018
252018
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
242017
An approximate Newton method for distributed optimization
A Mokhtari, Q Ling, A Ribeiro
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015
242015
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
222016
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
20*2018
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Artiklar 1–20