| 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 | 1714* | 2020 |
| 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 | 274 | 2020 |
| On the convergence theory of debiased model-agnostic meta-reinforcement learning A Fallah, K Georgiev, A Mokhtari, A Ozdaglar Advances in Neural Information Processing Systems 34, 3096-3107, 2021 | 66* | 2021 |
| 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 | 65 | 2020 |
| Private Adaptive Gradient Methods for Convex Optimization H Asi, J Duchi, A Fallah, O Javidbakht, K Talwar International Conference on Machine Learning, 383-392, 2021 | 64 | 2021 |
| A Universally Optimal Multistage Accelerated Stochastic Gradient Method NS Aybat, A Fallah, M Gurbuzbalaban, A Ozdaglar Advances in Neural Information Processing Systems, 8523-8534, 2019 | 64 | 2019 |
| Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks A Fallah, A Mokhtari, A Ozdaglar Advances in Neural Information Processing Systems 34, 2021 | 62 | 2021 |
| An optimal multistage stochastic gradient method for minimax problems A Fallah, A Ozdaglar, S Pattathil 2020 59th IEEE Conference on Decision and Control (CDC), 3573-3579, 2020 | 41 | 2020 |
| Optimal and differentially private data acquisition: Central and local mechanisms A Fallah, A Makhdoumi, A Malekian, A Ozdaglar Operations Research 72 (3), 1105-1123, 2024 | 39 | 2024 |
| Robust distributed accelerated stochastic gradient methods for multi-agent networks A Fallah, M Gurbuzbalaban, A Ozdaglar, U Simsekli, L Zhu The Journal of Machine Learning Research, 2022 | 37* | 2022 |
| Multidimensional Lévy white noise in weighted Besov spaces J Fageot, A Fallah, M Unser Stochastic Processes and their Applications 127 (5), 1599-1621, 2017 | 34 | 2017 |
| Optimal adaptive testing for epidemic control: combining molecular and serology tests D Acemoglu, A Fallah, A Giometto, D Huttenlocher, A Ozdaglar, F Parise, ... Automatica 160, 111391, 2024 | 24 | 2024 |
| A Wasserstein Minimax Framework for Mixed Linear Regression T Diamandis, YC Eldar, A Fallah, F Farnia, A Ozdaglar International Conference on Machine Learning, 2021 | 7 | 2021 |
| Sampling and distortion tradeoffs for indirect source retrieval E Mohammadi, A Fallah, F Marvasti IEEE Transactions on Information Theory 63 (11), 6833-6848, 2017 | 7 | 2017 |
| Entropic compressibility of Lévy processes J Fageot, A Fallah, T Horel IEEE Transactions on Information Theory 68 (8), 4949-4963, 2022 | 5 | 2022 |
| Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms A Fallah, A Makhdoumi, A Malekian, AE Ozdaglar Advances in Neural Information Processing Systems, 2022 | 5 | 2022 |
| Contract Design With Safety Inspections A Fallah, MI Jordan ACM Conference on Economics and Computation (EC'24), 2023 | 4 | 2023 |
| How Good Are Privacy Guarantees? Platform Architecture and Violation of User Privacy D Acemoglu, A Fallah, A Makhdoumi, A Malekian, A Ozdaglar National Bureau of Economic Research, 2023 | 4 | 2023 |
| The Limits of Price Discrimination Under Privacy Constraints A Fallah, MI Jordan, A Makhdoumi, A Malekian arXiv preprint arXiv:2402.08223, 2024 | 3 | 2024 |
| Fair Allocation in Dynamic Mechanism Design A Fallah, MI Jordan, A Ulichney Advances in Neural Information Processing Systems (NeurIPS 2024), 2024 | 1 | 2024 |
Asuman OzdaglarMathworks Professor, EECS, MITVerified email at mit.edu
