Robuta

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