Fallah, Alireza

12 publications

AISTATS 2025 Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy Maryam Aliakbarpour, Syomantak Chaudhuri, Thomas Courtade, Alireza Fallah, Michael Jordan

NeurIPS 2024 Fair Allocation in Dynamic Mechanism Design Alireza Fallah, Michael I. Jordan, Annie Ulichney

ICMLW 2024 On Three-Layer Data Markets Alireza Fallah, Michael Jordan, Ali Makhdoumi, Azarakhsh Malekian

NeurIPS 2022 Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman Ozdaglar

JMLR 2022 Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks Alireza Fallah, Mert Gürbüzbalaban, Asuman Ozdaglar, Umut Şimşekli, Lingjiong Zhu

ICML 2021 A Wasserstein Minimax Framework for Mixed Linear Regression Theo Diamandis, Yonina Eldar, Alireza Fallah, Farzan Farnia, Asuman Ozdaglar

NeurIPS 2021 Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar

NeurIPS 2021 On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning Alireza Fallah, Kristian Georgiev, Aryan Mokhtari, Asuman Ozdaglar

ICML 2021 Private Adaptive Gradient Methods for Convex Optimization Hilal Asi, John Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar

AISTATS 2020 On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar

NeurIPS 2020 Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar

NeurIPS 2019 A Universally Optimal Multistage Accelerated Stochastic Gradient Method Necdet Serhat Aybat, Alireza Fallah, Mert Gurbuzbalaban, Asuman Ozdaglar