Alireza Fallah

44 papers A* 10A 2Journal 29Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Signaling in Data Markets via Free Samples. CoRR Nivasini Ananthakrishnan, Alireza Fallah, Michael I. Jordan
2025	J	`jnl`	A General Framework for Estimating Preferences Using Response Time Data. CoRR Federico Echenique, Alireza Fallah, Michael I. Jordan
2025	A	`conf`	Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy. AISTATS Maryam Aliakbarpour, Syomantak Chaudhuri, Thomas A. Courtade, Alireza Fallah, Michael I. Jordan
2025	J	`jnl`	High-Probability Bounds For Heterogeneous Local Differential Privacy. CoRR Maryam Aliakbarpour, Alireza Fallah, Swaha Roy, Ria Stevens
2025	J	`jnl`	The Statistical Fairness-Accuracy Frontier. CoRR Alireza Fallah, Michael I. Jordan, Annie Ulichney
2024	A*	`conf`	Contract Design With Safety Inspections. EC Alireza Fallah, Michael I. Jordan
2024	J	`jnl`	Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy. CoRR Maryam Aliakbarpour, Syomantak Chaudhuri, Thomas A. Courtade, Alireza Fallah, Michael I. Jordan
2024	A*	`conf`	Fair Allocation in Dynamic Mechanism Design. NeurIPS Alireza Fallah, Michael I. Jordan, Annie Ulichney
2024	J	`jnl`	Fair Allocation in Dynamic Mechanism Design. CoRR Alireza Fallah, Michael I. Jordan, Annie Ulichney
2024	J	`jnl`	On Three-Layer Data Markets. CoRR Alireza Fallah, Michael I. Jordan, Ali Makhdoumi, Azarakhsh Malekian
2024	J	`jnl`	Optimal adaptive testing for epidemic control: Combining molecular and serology tests. Autom. Daron Acemoglu, Alireza Fallah, Andrea Giometto, Daniel P. Huttenlocher, Asuman E. Ozdaglar, Francesca Parise, Sarath Pattathil
2024	J	`jnl`	Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms. Oper. Res. Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar
2024	J	`jnl`	The Limits of Price Discrimination Under Privacy Constraints. CoRR Alireza Fallah, Michael I. Jordan, Ali Makhdoumi, Azarakhsh Malekian
2023	—	`—`	Algorithmic Interactions With Strategic Users: Incentives, Interplay, and Impact Alireza Fallah
2023	J	`jnl`	Contract Design With Safety Inspections. CoRR Alireza Fallah, Michael I. Jordan
2022	A*	`conf`	Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms. NeurIPS Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar
2022	J	`jnl`	Entropic Compressibility of Lévy Processes. IEEE Trans. Inf. Theory Julien Fageot, Alireza Fallah, Thibaut Horel
2022	A*	`conf`	Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms. EC Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar
2022	J	`jnl`	Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms. CoRR Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar
2022	J	`jnl`	Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks. J. Mach. Learn. Res. Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar, Umut Simsekli, Lingjiong Zhu
2021	A*	`conf`	A Wasserstein Minimax Framework for Mixed Linear Regression. ICML Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman E. Ozdaglar
2021	J	`jnl`	A Wasserstein Minimax Framework for Mixed Linear Regression. CoRR Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman E. Ozdaglar
2021	A*	`conf`	Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks. NeurIPS Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
2021	J	`jnl`	Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks. CoRR Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
2021	A*	`conf`	On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning. NeurIPS Alireza Fallah, Kristian Georgiev, Aryan Mokhtari, Asuman E. Ozdaglar
2021	J	`jnl`	Optimal adaptive testing for epidemic control: combining molecular and serology tests. CoRR Daron Acemoglu, Alireza Fallah, Andrea Giometto, Daniel P. Huttenlocher, Asuman E. Ozdaglar, Francesca Parise, Sarath Pattathil
2021	A*	`conf`	Private Adaptive Gradient Methods for Convex Optimization. ICML Hilal Asi, John C. Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar
2021	J	`jnl`	Private Adaptive Gradient Methods for Convex Optimization. CoRR Hilal Asi, John C. Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar
2020	—	`conf`	An Optimal Multistage Stochastic Gradient Method for Minimax Problems. CDC Alireza Fallah, Asuman E. Ozdaglar, Sarath Pattathil
2020	J	`jnl`	An Optimal Multistage Stochastic Gradient Method for Minimax Problems. CoRR Alireza Fallah, Asuman E. Ozdaglar, Sarath Pattathil
2020	J	`jnl`	Entropic Compressibility of Lévy Processes. CoRR Julien Fageot, Alireza Fallah, Thibaut Horel
2020	A	`conf`	On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms. AISTATS Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
2020	A*	`conf`	Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach. NeurIPS Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
2020	J	`jnl`	Personalized Federated Learning: A Meta-Learning Approach. CoRR Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
2020	J	`jnl`	Provably Convergent Policy Gradient Methods for Model-Agnostic Meta-Reinforcement Learning. CoRR Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
2020	J	`jnl`	Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions. SIAM J. Optim. Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar
2019	A*	`conf`	A Universally Optimal Multistage Accelerated Stochastic Gradient Method. NeurIPS Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar
2019	J	`jnl`	A Universally Optimal Multistage Accelerated Stochastic Gradient Method. CoRR Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar
2019	J	`jnl`	On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms. CoRR Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar
2019	J	`jnl`	Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks. CoRR Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar, Umut Simsekli, Lingjiong Zhu
2018	J	`jnl`	Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions. CoRR Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar
2017	J	`jnl`	Sampling and Distortion Tradeoffs for Indirect Source Retrieval. IEEE Trans. Inf. Theory Elaheh Mohammadi, Alireza Fallah, Farokh Marvasti
2016	J	`jnl`	Sampling and Distortion Tradeoffs for Indirect Source Retrieval. CoRR Elaheh Mohammadi, Alireza Fallah, Farokh Marvasti
2016	—	`conf`	Sampling and distortion tradeoffs for indirect source retrieval. GlobalSIP Elaheh Mohammadi, Alireza Fallah, Farokh Marvasti