Pouria Mahdavinia — accepted AI-conference papers

2023

Distributed Personalized Empirical Risk Minimization

Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi

NeurIPS 2023poster

This paper advocates a new paradigm Personalized Empirical Risk Minimization (PERM) to facilitate learning from heterogeneous data sources without imposing stringent constraints on computational resources shared by participating devices. In PERM, we aim at learning a distinct model for each clie…

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2022

Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems

Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi

NeurIPS 2022accept

Despite the established convergence theory of Optimistic Gradient Descent Ascent (OGDA) and Extragradient (EG) methods for the convex-concave minimax problems, little is known about the theoretical guarantees of these methods in nonconvex settings. To bridge this gap, for the first time, this paper…

Cited by 16 Source ↗PDF ↗Scholar ↗