Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 1, 2024Open Access

Non-geodesically-convex optimization in the Wasserstein space

View Full Paper
Ask AI
Bookmark
Share

Authors

HLHoang Phuc Hau LuuHYHanlin YuBWBernardo Williams

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Luu et al. (2024) studied this question.

synapsesocial.com/papers/68e67058b6db6435875fabbahttps://doi.org/10.48550/arxiv.2406.00502
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Variational Analysis in the Wasserstein Space2024
  2. 2Stochastic optimization problems with nonlinear dependence on a probability measure via the Wasserstein metric2024
  3. 3Metric extrapolation in the Wasserstein space2024 · 1 citations
  4. 4Geodesic and Adapted Exponential Smoothing: Wasserstein Smoothing for Multivariate Distributions and the Laws of Stochastic Processes2026
  5. 5Efficient Gradient Flows in Sliced-Wasserstein Space2021