| RES: Regularized Stochastic BFGS Algorithm A Mokhtari, A Ribeiro IEEE Transactions on Signal Processing 62 (23), 6089-6104, 2014 | 68 | 2014 |
| Global Convergence of Online Limited Memory BFGS A Mokhtari, A Ribeiro Journal of Machine Learning Research 16, 3151-3181, 2015 | 47 | 2015 |
| 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 | 41 | 2016 |
| DSA: Decentralized Double Stochastic Averaging Gradient Algorithm A Mokhtari, A Ribeiro Journal of Machine Learning Research 17 (61), 1-35, 2016 | 35 | 2016 |
| 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 | 30 | 2016 |
| 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 | 29 | 2016 |
| Decentralized Quasi-Newton Methods M Eisen, A Mokhtari, A Ribeiro IEEE Transactions on Signal Processing 65 (10), 2613 - 2628, 2017 | 26 | 2017 |
| Network Newton distributed optimization methods A Mokhtari, Q Ling, A Ribeiro IEEE Transactions on Signal Processing 65 (1), 146-161, 2017 | 23 | 2017 |
| Network Newton-part i: Algorithm and convergence A Mokhtari, Q Ling, A Ribeiro arXiv preprint arXiv:1504.06017, 2015 | 23 | 2015 |
| An approximate Newton method for distributed optimization A Mokhtari, Q Ling, A Ribeiro Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015 | 21 | 2015 |
| Network Newton-part II: Convergence rate and implementation A Mokhtari, Q Ling, A Ribeiro arXiv preprint arXiv:1504.06020, 2015 | 19 | 2015 |
| Doubly Random Parallel Stochastic Methods for Large Scale Learning A Mokhtari, A Koppel, A Ribeiro 2016 American Control Conference (ACC), 4847-4852, 2016 | 17* | 2016 |
| 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 | 14 | 2016 |
| 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, 4062-4070, 2016 | 13 | 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 | 12 | 2017 |
| 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 | 11 | 2017 |
| Prediction-correction methods for time-varying convex optimization A Simonetto, A Koppel, A Mokhtari, G Leus, A Ribeiro Signals, Systems and Computers, 2015 49th Asilomar Conference on, 666-670, 2015 | 11 | 2015 |
| Target Tracking with Dynamic Convex Optimization A Koppel, A Simonetto, A Mokhtari, G Leus, A Ribeiro Global Conference on Signal and Information Processing (GlobalSIP), 2015 IEEE, 2015 | 10 | 2015 |
| Network Newton A Mokhtari, Q Ling, A Ribeiro Signals, Systems and Computers, 2014 48th Asilomar Conference on, 1621-1625, 2014 | 10 | 2014 |
| A decentralized quasi-Newton method for dual formulations of consensus optimization M Eisen, A Mokhtari, A Ribeiro Decision and Control (CDC), 2016 IEEE 55th Conference on, 1951-1958, 2016 | 8 | 2016 |
Alejandro RibeiroUniversity of PennsylvaniaVerified email at seas.upenn.edu
