https://openreview.net/forum?id=8bpPxz2bJI&referrer=%5Bthe%20profile%20of%20Ziv%20Goldfeld%5D(%2Fprofile%3Fid%3D~Ziv_Goldfeld1)
The Gromov-Wasserstein (GW) distance, rooted in optimal transport (OT) theory, quantifies dissimilarity between metric measure spaces and provides a framework...
sample complexitygromovwassersteindistancesentropic
https://deepai.org/publication/optimal-1-wasserstein-distance-for-wgans
01/08/22 - The mathematical forces at work behind Generative Adversarial Networks raise challenging theoretical issues. Motivated by the impo...
wasserstein distanceoptimal
https://openreview.net/forum?id=CiEOW1CdKc&referrer=%5Bthe%20profile%20of%20Kai%20Yan%5D(%2Fprofile%3Fid%3D~Kai_Yan1)
Imitation Learning (IL) enables agents to mimic expert behavior by learning from demonstrations. However, traditional IL methods require large amounts of...
imitation learninglatentwassersteinadversarial
https://deepai.org/publication/quantile-propagation-for-wasserstein-approximate-gaussian-processes
12/21/19 - In this work, we develop a new approximation method to solve the analytically intractable Bayesian inference for Gaussian process ...
gaussian processesquantilepropagationwassersteinapproximate
https://openreview.net/forum?id=RYPNAOWANk&referrer=%5Bthe%20profile%20of%20Ziv%20Goldfeld%5D(%2Fprofile%3Fid%3D~Ziv_Goldfeld1)
The Gromov-Wasserstein (GW) distance, rooted in optimal transport (OT) theory, quantifies dissimilarity between metric measure spaces and provides a framework...
sample complexitywasserstein distancedualitygromov
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Shop Wasserstein Doorbell Chime for Google Nest Doorbell (Wired, 2nd Gen) NOT for Nest Doorbell (Battery) Doorbell NOT Included White products at Best Buy....
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https://www.aqua-lapis.de/Wasserstein-Mischungen/
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