Introduces CROTS, a class of random measure spaces with Wasserstein ambient metric, closed stochastic order, hard/soft ordered transport discrepancies, and conditional risk for evidence-constrained learning.
Metrizability of Cone Metric spaces
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abstract
In 2007 H. Long-Guang and Z. Xian, [H. Long-Guang and Z. Xian, Cone Metric Spaces and Fixed Point Theorems of Contractive Mapping, J. Math. Anal. Appl., 322(2007), 1468-1476], generalized the concept of a metric space, by introducing cone metric spaces, and obtained some fixed point theorems for mappings satisfying certain contractive conditions. The main question was "Are cone metric spaces a real generalization of metric spaces?" Throughout this paper we answer the question in the negative, proving that every cone metric space is metrizable and the equivalent metric satisfies the same contractive conditions as the cone metric. So most of the fixed point theorems which have been proved are straightforward results from the metric case.
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cs.LG 1years
2026 1verdicts
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Conditional Random Ordered Transport Spaces
Introduces CROTS, a class of random measure spaces with Wasserstein ambient metric, closed stochastic order, hard/soft ordered transport discrepancies, and conditional risk for evidence-constrained learning.