Results 171 to 180 of about 4,469 (193)
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2009
Assume, as before, that you are in charge of the transport of goods between producers and consumers, whose respective spatial distributions are modeled by probability measures.
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Assume, as before, that you are in charge of the transport of goods between producers and consumers, whose respective spatial distributions are modeled by probability measures.
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Wasserstein Distance and the Distributionally Robust TSP
Operations Research, 2018One of the most common strategies used in large-scale logistics problems is districting, in which one divides a service region into smaller pieces. This is particularly useful when one does not know the true locations of demand, but has only limited information such as a probability distribution or a small set of sample data.
John Gunnar Carlsson +2 more
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Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance.
CoRRIn this paper, we investigate the properties of the Sliced Wasserstein Distance (SW) when employed as an objective functional. The SW metric has gained significant interest in the optimal transport and machine learning literature, due to its ability to capture intricate geometric properties of probability distributions while remaining computationally ...
Vauthier, Christophe +2 more
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Convergence in the Wasserstein Distance
2018In the previous chapters, we obtained rates of convergence in the total variation distance of the iterates \(P^n\) of an irreducible positive Markov kernel P to its unique invariant measure \(\pi \) for \(\pi \)-almost every \(x \in \mathsf {X}\) and for all \(x \in \mathsf {X}\) if the kernel P is irreducible and positive Harris recurrent. Conversely,
Randal Douc +3 more
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Fault Diagnosis of Rotating Machinery Based on Wasserstein Distance and Feature Selection
IEEE Transactions on Automation Science and Engineering, 2022Andrea Monteriù +2 more
exaly
Detection and Isolation of Incipiently Developing Fault Using Wasserstein Distance
Processes, 2022Shihua Luo, Jiusun Zeng, Jinhui Cai
exaly
Minimax estimation of smooth densities in Wasserstein distance
Annals of Statistics, 2022Jonathan Niles-Weed
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Estimating processes in adapted Wasserstein distance
Annals of Applied Probability, 2022Mathias Beiglböck, Daniel Bartl
exaly
Mckean-Vlasov sdes with drifts discontinuous under wasserstein distance
Discrete and Continuous Dynamical Systems, 2021Feng-Yu Wang
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