Search Results for author: Theo Diamandis

Found 1 papers, 1 papers with code

A Wasserstein Minimax Framework for Mixed Linear Regression

1 code implementation14 Jun 2021 Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman Ozdaglar

We propose an optimal transport-based framework for MLR problems, Wasserstein Mixed Linear Regression (WMLR), which minimizes the Wasserstein distance between the learned and target mixture regression models.

Federated Learning regression

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