Seguir
Alireza Fallah
Alireza Fallah
UC Berkeley
Dirección de correo verificada de berkeley.edu - Página principal
Título
Citado por
Citado por
Año
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
1715*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
2742020
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
652020
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
652019
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
642021
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
622021
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
412020
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
392024
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
342017
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
242024
A Wasserstein Minimax Framework for Mixed Linear Regression
T Diamandis, YC Eldar, A Fallah, F Farnia, A Ozdaglar
International Conference on Machine Learning, 2021
72021
Sampling and distortion tradeoffs for indirect source retrieval
E Mohammadi, A Fallah, F Marvasti
IEEE Transactions on Information Theory 63 (11), 6833-6848, 2017
72017
Entropic compressibility of Lévy processes
J Fageot, A Fallah, T Horel
IEEE Transactions on Information Theory 68 (8), 4949-4963, 2022
52022
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
52022
Contract Design With Safety Inspections
A Fallah, MI Jordan
ACM Conference on Economics and Computation (EC'24), 2023
42023
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
42023
The Limits of Price Discrimination Under Privacy Constraints
A Fallah, MI Jordan, A Makhdoumi, A Malekian
arXiv preprint arXiv:2402.08223, 2024
32024
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
M Aliakbarpour, S Chaudhuri, TA Courtade, A Fallah, MI Jordan
arXiv preprint arXiv:2410.18404, 2024
12024
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20