https://openreview.net/forum?id=RYPNAOWANk
Duality and Sample Complexity for the Gromov-Wasserstein Distance | OpenReview
The Gromov-Wasserstein (GW) distance, rooted in optimal transport (OT) theory, quantifies dissimilarity between metric measure spaces and provides a framework...
sample complexityfor thewasserstein distancedualitygromov
https://openreview.net/forum?id=umvV3yvo4N
Energy-Based Sliced Wasserstein Distance | OpenReview
The sliced Wasserstein (SW) distance has been widely recognized as a statistically effective and computationally efficient metric between two probability...
wasserstein distanceenergybasedslicedopenreview
https://arxiv.org/abs/2310.12714
[2310.12714] Wasserstein distance in speed limit inequalities for Markov jump processes
Abstract page for arXiv paper 2310.12714: Wasserstein distance in speed limit inequalities for Markov jump processes
wasserstein distancespeed limit
https://openreview.net/forum?id=xJYek6zantM
Tighter Expected Generalization Error Bounds via Wasserstein Distance | OpenReview
New, tighter generalization error bounds based on the Wasserstein distance that recover from below previous bounds based on the relative entropy and generate...
generalization errorwasserstein distancetighterexpectedbounds
https://openreview.net/forum?id=15kHQ5GbwM
Spherical Tree-Sliced Wasserstein Distance | OpenReview
Sliced Optimal Transport (OT) simplifies the OT problem in high-dimensional spaces by projecting supports of input measures onto one-dimensional lines, then...
wasserstein distancesphericaltreeslicedopenreview
https://openreview.net/forum?id=aiOHc1LGpD
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance | OpenReview
Safeguarding privacy in sensitive training data is paramount, particularly in the context of generative modeling. This can be achieved through either...
gradient flowbased onwasserstein distanceprivate
https://openreview.net/forum?id=rM3FFH1mqk
Semidefinite Relaxations of the Gromov-Wasserstein Distance | OpenReview
The Gromov-Wasserstein (GW) distance is an extension of the optimal transport problem that allows one to match objects between incomparable spaces. At its...
of thewasserstein distancesemidefiniterelaxationsgromov
https://openreview.net/forum?id=I0ZPKZOs6G
Local Differential Privacy with Entropic Wasserstein Distance | OpenReview
Local differential privacy (LDP) is a powerful method for privacy-preserving data collection. In this paper, we develop a framework for training Generative...
local differential privacywasserstein distanceentropicopenreview
https://arxiv.org/abs/1910.03993
[1910.03993] Distributionally Robust XVA via Wasserstein Distance Part 2: Wrong Way Funding Risk
Abstract page for arXiv paper 1910.03993: Distributionally Robust XVA via Wasserstein Distance Part 2: Wrong Way Funding Risk
https://arxiv.org/abs/2408.07498
[2408.07498] Wasserstein Gradient Flows of MMD Functionals with Distance Kernel and Cauchy Problems...
Abstract page for arXiv paper 2408.07498: Wasserstein Gradient Flows of MMD Functionals with Distance Kernel and Cauchy Problems on Quantile Functions
https://jmlr.org/papers/v26/24-2189.html
The Z-Gromov-Wasserstein Distance
the zgromovwassersteindistance