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Non-geodesically-convex optimization in the Wasserstein space

Non-geodesically-convex optimization in the Wasserstein space

8 January 2025
Hoang Phuc Hau Luu
Hanlin Yu
Bernardo Williams
Petrus Mikkola
Marcelo Hartmann
Kai Puolamaki
Arto Klami
ArXivPDFHTML

Papers citing "Non-geodesically-convex optimization in the Wasserstein space"

3 / 3 papers shown
Title
Linear convergence of proximal descent schemes on the Wasserstein space
Linear convergence of proximal descent schemes on the Wasserstein space
Razvan-Andrei Lascu
Mateusz B. Majka
David Siska
Łukasz Szpruch
76
1
0
22 Nov 2024
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
Hoang Phuc Hau Luu
Hanlin Yu
Bernardo Williams
Marcelo Hartmann
Arto Klami
DRL
46
0
0
03 Oct 2024
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
187
601
0
22 Sep 2016
1