Jun 22, 2020 · Yet, the behavior of minimum Wasserstein estimators is poorly understood, notably in high-dimensional regimes or under model misspecification.

We focus on a promising approach to treating high- dimensional problems: Compute the OT distance be- tween low-dimensional projections of high-dimensional input ...

The viewpoint of projection robust (PR) OT is adopted, which seeks to maximize the OT cost between two measures by choosing a $k$-dimensional subspace onto ...

On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. Tianyi Lin, Zeyu Zheng, Elynn Chen, Marco Cuturi, Michael I. Jordan.

On projection robust optimal transport: Sample complexity and model misspecification. Tianyi Lin, Zeyu Zheng, Elynn Chen, Marco Cuturi, Michael Jordan.

Jan 1, 2021 · On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. Citation Details. Title: On Projection Robust Optimal ...

Jordan, On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification, AISTATS 2021. M. Scetbon, L. Meunier, J. Atif, MC, Equitable ...

A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused ...

Projection Robust Wasserstein Distance and Riemannian Optimization ... On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification ...

Marco Cuturi. Latest. On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. © 2024 Elynn Chen · Powered by the Academic theme ...