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Cited article:

Algorithms for Mean-Field Variational Inference Via Polyhedral Optimization in the Wasserstein Space

Yiheng Jiang, Sinho Chewi and Aram-Alexandre Pooladian
Foundations of Computational Mathematics (2025)
https://doi.org/10.1007/s10208-025-09721-x

Bregman–Wasserstein Divergence: Geometry and Applications

Amanjit Singh Kainth, Cale Rankin and Ting-Kam Leonard Wong
IEEE Transactions on Information Theory 71 (11) 8723 (2025)
https://doi.org/10.1109/TIT.2025.3606755

Wasserstein Medians: Robustness, PDE Characterization, and Numerics

G. Carlier, E. Chenchene and K. Eichinger
SIAM Journal on Mathematical Analysis 56 (5) 6483 (2024)
https://doi.org/10.1137/23M1624786

Stochastic gradient descent for barycenters in Wasserstein space

Julio Backhoff, Joaquin Fontbona, Gonzalo Rios and Felipe Tobar
Journal of Applied Probability 1 (2024)
https://doi.org/10.1017/jpr.2024.39