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Found 2 papers, 1 papers with code
Bayesian Nonparametrics Meets Data-Driven Robust Optimization
Training machine learning and statistical models often involves optimizing a data-driven risk criterion.
Quasi-Monte Carlo for 3D Sliced Wasserstein
Monte Carlo (MC) integration has been employed as the standard approximation method for the Sliced Wasserstein (SW) distance, whose analytical expression involves an intractable expectation.
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