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stat.ML2026
Random Coordinate Descent on the Wasserstein Space of Probability Measures
Yewei Xu, Qin Li
Optimization over the space of probability measures endowed with the Wasserstein-2 geometry is central to modern machine learning and mean-field modeling. However, traditional meth…
stat.ML2024
Forward-Euler time-discretization for Wasserstein gradient flows can be wrong
Yewei Xu, Qin Li
In this note, we examine the forward-Euler discretization for simulating Wasserstein gradient flows. We provide two counter-examples showcasing the failure of this discretization e…