Alireza Fallah

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Topics

Data Acquisition

Multistage Stochastic

Reinforcement Learning

Top Venues

IEEE Trans. Inf. Theory

Publications

Alireza Fallah, Michael I. Jordan, Annie Ulichney
Fair Allocation in Dynamic Mechanism Design. CoRR (2024)
Alireza Fallah, Michael I. Jordan, Ali Makhdoumi, Azarakhsh Malekian
The Limits of Price Discrimination Under Privacy Constraints. CoRR (2024)
Alireza Fallah, Michael I. Jordan, Ali Makhdoumi, Azarakhsh Malekian
On Three-Layer Data Markets. CoRR (2024)
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 (2024)
Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms. Oper. Res. 72 (3) (2024)
Alireza Fallah, Michael I. Jordan
Contract Design With Safety Inspections. CoRR (2023)
Julien Fageot, Alireza Fallah, Thibaut Horel
Entropic Compressibility of Lévy Processes. IEEE Trans. Inf. Theory 68 (8) (2022)
Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms. CoRR (2022)
Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms. EC (2022)
Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms. NeurIPS (2022)
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 (2022)
Hilal Asi, John C. Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar
Private Adaptive Gradient Methods for Convex Optimization. ICML (2021)
Hilal Asi, John C. Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar
Private Adaptive Gradient Methods for Convex Optimization. CoRR (2021)
Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks. CoRR (2021)
Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman E. Ozdaglar
A Wasserstein Minimax Framework for Mixed Linear Regression. ICML (2021)
Daron Acemoglu, Alireza Fallah, A. Giometto, D. Huttenlocher, Asuman E. Ozdaglar, Francesca Parise, Sarath Pattathil
Optimal adaptive testing for epidemic control: combining molecular and serology tests. CoRR (2021)
Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman E. Ozdaglar
A Wasserstein Minimax Framework for Mixed Linear Regression. CoRR (2021)
Alireza Fallah, Kristian Georgiev, Aryan Mokhtari, Asuman E. Ozdaglar
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning. NeurIPS (2021)
Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks. NeurIPS (2021)
Alireza Fallah, Asuman E. Ozdaglar, Sarath Pattathil
An Optimal Multistage Stochastic Gradient Method for Minimax Problems. CDC (2020)
Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
Provably Convergent Policy Gradient Methods for Model-Agnostic Meta-Reinforcement Learning. CoRR (2020)
Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach. NeurIPS (2020)
Alireza Fallah, Asuman E. Ozdaglar, Sarath Pattathil
An Optimal Multistage Stochastic Gradient Method for Minimax Problems. CoRR (2020)
Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
Personalized Federated Learning: A Meta-Learning Approach. CoRR (2020)
Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar
Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions. SIAM J. Optim. 30 (1) (2020)
Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms. AISTATS (2020)
Julien Fageot, Alireza Fallah, Thibaut Horel
Entropic Compressibility of Lévy Processes. CoRR (2020)
Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar
A Universally Optimal Multistage Accelerated Stochastic Gradient Method. CoRR (2019)
Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar, Umut Simsekli, Lingjiong Zhu
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks. CoRR (2019)
Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar
A Universally Optimal Multistage Accelerated Stochastic Gradient Method. NeurIPS (2019)
Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms. CoRR (2019)
Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar
Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions. CoRR (2018)
Elaheh Mohammadi, Alireza Fallah, Farokh Marvasti
Sampling and Distortion Tradeoffs for Indirect Source Retrieval. IEEE Trans. Inf. Theory 63 (11) (2017)
Elaheh Mohammadi, Alireza Fallah, Farokh Marvasti
Sampling and distortion tradeoffs for indirect source retrieval. GlobalSIP (2016)
Elaheh Mohammadi, Alireza Fallah, Farokh Marvasti
Sampling and Distortion Tradeoffs for Indirect Source Retrieval. CoRR (2016)