| RES: Regularized Stochastic BFGS Algorithm A Mokhtari, A Ribeiro IEEE Transactions on Signal Processing 62 (23), 6089-6104, 2014 | 132 | 2014 |
| Global Convergence of Online Limited Memory BFGS A Mokhtari, A Ribeiro Journal of Machine Learning Research 16, 3151-3181, 2015 | 130 | 2015 |
| DSA: Decentralized double stochastic averaging gradient algorithm A Mokhtari, A Ribeiro The Journal of Machine Learning Research 17 (1), 2165-2199, 2016 | 128 | 2016 |
| Network Newton distributed optimization methods A Mokhtari, Q Ling, A Ribeiro IEEE Transactions on Signal Processing 65 (1), 146-161, 2017 | 99 | 2017 |
| 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 | 97 | 2016 |
| 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 | 90 | 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 | 79 | 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 | 78 | 2016 |
| A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach A Mokhtari, A Ozdaglar, S Pattathil International Conference on Artificial Intelligence and Statistics, 1497-1507, 2020 | 73 | 2020 |
| Decentralized Quasi-Newton Methods M Eisen, A Mokhtari, A Ribeiro IEEE Transactions on Signal Processing 65 (10), 2613 - 2628, 2017 | 68 | 2017 |
| Fedpaq: A communication-efficient federated learning method with periodic averaging and quantization A Reisizadeh, A Mokhtari, H Hassani, A Jadbabaie, R Pedarsani International Conference on Artificial Intelligence and Statistics, 2021-2031, 2020 | 59 | 2020 |
| Stochastic conditional gradient methods: From convex minimization to submodular maximization A Mokhtari, H Hassani, A Karbasi Journal of Machine Learning Research 21 (105), 1-49, 2020 | 46 | 2020 |
| 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 | 46 | 2017 |
| Direct Runge-Kutta Discretization Achieves Acceleration J Zhang, A Mokhtari, S Sra, A Jadbabaie Advances in Neural Information Processing Systems, 3904-3913, 2018 | 44 | 2018 |
| On the convergence theory of gradient-based model-agnostic meta-learning algorithms A Fallah, A Mokhtari, A Ozdaglar International Conference on Artificial Intelligence and Statistics, 1082-1092, 2020 | 40 | 2020 |
| 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 | 40 | 2018 |
| Conditional gradient method for stochastic submodular maximization: Closing the gap A Mokhtari, H Hassani, A Karbasi International Conference on Artificial Intelligence and Statistics, 1886-1895, 2018 | 38 | 2018 |
| Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication Z Shen, A Mokhtari, T Zhou, P Zhao, H Qian International Conference on Machine Learning (ICML), 4631-4640, 2018 | 37 | 2018 |
| Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach A Fallah, A Mokhtari, A Ozdaglar Advances in Neural Information Processing Systems 33, 2020 | 36* | 2020 |
| Escaping saddle points in constrained optimization A Mokhtari, A Ozdaglar, A Jadbabaie Advances in Neural Information Processing Systems, 3629-3639, 2018 | 33 | 2018 |
Alejandro RibeiroUniversity of PennsylvaniaVerified email at seas.upenn.edu
