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LearningOptimalFlowsfor Non-EquilibriumImportanceSampling

Neural Information Processing Systems

Onthetheory side,wediscuss howtotailorthevelocity fieldtothetargetandestablish general conditions under which the proposed estimator is a perfect estimator with zerovariance.




Private Identity Testingfor High-Dimensional Distributions AnonymousAuthor(s) June 5, 2020

Neural Information Processing Systems

We construct two types of testers, exhibiting tradeoffs between sample complexity and computational complexity. Finally, we provide a two-way reduction between testing a subclass of multivariate product distributions and testing univariate distributions,and thereby obtainupper and lower bounds for testingthis subclassof product distributions.