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ORCIDAlireza Fallah 0001
Person information
- affiliation: UC Berkeley, CA, USA
- affiliation (former): MIT, Cambridge, MA, USA
Other persons with the same name
- Alireza Fallah 0002
![[0000-0002-1859-632X]](/https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1859-632X")
— University of Qom, Qom, Iran
2020 – today
- 2024
[j6]Daron Acemoglu, Alireza Fallah, Andrea Giometto, Daniel P. Huttenlocher, Asuman E. Ozdaglar, Francesca Parise, Sarath Pattathil:
Optimal adaptive testing for epidemic control: Combining molecular and serology tests. Autom. 160: 111391 (2024)- [j5]Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar:
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms. Oper. Res. 72(3): 1105-1123 (2024) - [c13]Alireza Fallah, Michael I. Jordan, Annie Ulichney:
Fair Allocation in Dynamic Mechanism Design. NeurIPS 2024 - [c12]Alireza Fallah, Michael I. Jordan:
Contract Design With Safety Inspections. EC 2024: 616-638 - [i19]Alireza Fallah, Michael I. Jordan, Ali Makhdoumi, Azarakhsh Malekian:
The Limits of Price Discrimination Under Privacy Constraints. CoRR abs/2402.08223 (2024) - [i18]Alireza Fallah, Michael I. Jordan, Ali Makhdoumi, Azarakhsh Malekian:
On Three-Layer Data Markets. CoRR abs/2402.09697 (2024) - [i17]Alireza Fallah, Michael I. Jordan, Annie Ulichney:
Fair Allocation in Dynamic Mechanism Design. CoRR abs/2406.00147 (2024) - [i16]Maryam Aliakbarpour, Syomantak Chaudhuri, Thomas A. Courtade, Alireza Fallah, Michael I. Jordan:
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy. CoRR abs/2410.18404 (2024) - 2023
- [b1]Alireza Fallah:
Algorithmic Interactions With Strategic Users: Incentives, Interplay, and Impact. MIT, USA, 2023 - [i15]Alireza Fallah, Michael I. Jordan:
Contract Design With Safety Inspections. CoRR abs/2311.02537 (2023) - 2022
- [j4]Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar, Umut Simsekli, Lingjiong Zhu:
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks. J. Mach. Learn. Res. 23: 220:1-220:96 (2022) - [j3]Julien Fageot, Alireza Fallah, Thibaut Horel:
Entropic Compressibility of Lévy Processes. IEEE Trans. Inf. Theory 68(8): 4949-4963 (2022) - [c11]Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar:
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms. NeurIPS 2022 - [c10]Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar:
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms. EC 2022: 1141 - [i14]Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar:
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms. CoRR abs/2201.03968 (2022) - 2021
- [c9]Hilal Asi, John C. Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar:
Private Adaptive Gradient Methods for Convex Optimization. ICML 2021: 383-392 - [c8]Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman E. Ozdaglar:
A Wasserstein Minimax Framework for Mixed Linear Regression. ICML 2021: 2697-2706 - [c7]Alireza Fallah, Kristian Georgiev, Aryan Mokhtari, Asuman E. Ozdaglar:
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning. NeurIPS 2021: 3096-3107 - [c6]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks. NeurIPS 2021: 5469-5480 - [i13]Daron Acemoglu, Alireza Fallah, Andrea Giometto, Daniel P. Huttenlocher, Asuman E. Ozdaglar, Francesca Parise, Sarath Pattathil:
Optimal adaptive testing for epidemic control: combining molecular and serology tests. CoRR abs/2101.00773 (2021) - [i12]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks. CoRR abs/2102.03832 (2021) - [i11]Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman E. Ozdaglar:
A Wasserstein Minimax Framework for Mixed Linear Regression. CoRR abs/2106.07537 (2021) - [i10]Hilal Asi, John C. Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar:
Private Adaptive Gradient Methods for Convex Optimization. CoRR abs/2106.13756 (2021) - 2020
- [j2]Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar:
Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions. SIAM J. Optim. 30(1): 717-751 (2020) - [c5]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms. AISTATS 2020: 1082-1092 - [c4]Alireza Fallah, Asuman E. Ozdaglar, Sarath Pattathil:
An Optimal Multistage Stochastic Gradient Method for Minimax Problems. CDC 2020: 3573-3579 - [c3]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach. NeurIPS 2020 - [i9]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Provably Convergent Policy Gradient Methods for Model-Agnostic Meta-Reinforcement Learning. CoRR abs/2002.05135 (2020) - [i8]Alireza Fallah, Asuman E. Ozdaglar, Sarath Pattathil:
An Optimal Multistage Stochastic Gradient Method for Minimax Problems. CoRR abs/2002.05683 (2020) - [i7]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Personalized Federated Learning: A Meta-Learning Approach. CoRR abs/2002.07948 (2020) - [i6]Julien Fageot, Alireza Fallah, Thibaut Horel:
Entropic Compressibility of Lévy Processes. CoRR abs/2009.10753 (2020)
2010 – 2019
- 2019
- [c2]Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar:
A Universally Optimal Multistage Accelerated Stochastic Gradient Method. NeurIPS 2019: 8523-8534 - [i5]Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar:
A Universally Optimal Multistage Accelerated Stochastic Gradient Method. CoRR abs/1901.08022 (2019) - [i4]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms. CoRR abs/1908.10400 (2019) - [i3]Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar, Umut Simsekli, Lingjiong Zhu:
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks. CoRR abs/1910.08701 (2019) - 2018
- [i2]Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar:
Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions. CoRR abs/1805.10579 (2018) - 2017
- [j1]Elaheh Mohammadi, Alireza Fallah, Farokh Marvasti:
Sampling and Distortion Tradeoffs for Indirect Source Retrieval. IEEE Trans. Inf. Theory 63(11): 6833-6848 (2017) - 2016
- [c1]Elaheh Mohammadi, Alireza Fallah, Farokh Marvasti:
Sampling and distortion tradeoffs for indirect source retrieval. GlobalSIP 2016: 545-549 - [i1]Elaheh Mohammadi, Alireza Fallah, Farokh Marvasti:
Sampling and Distortion Tradeoffs for Indirect Source Retrieval. CoRR abs/1606.05514 (2016)
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