product distribution
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Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression
Despite its popularity in practice, theoretical guarantees for high-dimensional problems are only available under strong structural assumptions (e.g., sparsity).
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b3875605f2e35714fc8a807cadf8a5e8-Paper-Conference.pdf
The publicly verifiable record of the randomization is available athttps://www.
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Private Identity Testingfor High-Dimensional Distributions AnonymousAuthor(s) June 5, 2020
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.
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