222 citations · 591 across the 74 of their papers we have counts for
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stat.ML2023
Kernel-Based Tests for Likelihood-Free Hypothesis Testing
Patrik Róbert Gerber, Tianze Jiang, Yury Polyanskiy +1
Given observations from two balanced classes, consider the task of labeling an additional inputs that are known to all belong to \emph{one} of the two classes. Special case…
stat.ML2023★ 1 cited
The Sample Complexity of Approximate Rejection Sampling with Applications to Smoothed Online Learning
Adam Block, Yury Polyanskiy
Suppose we are given access to independent samples from distribution and we wish to output one of them with the goal of making the output distributed as close as possible t…
stat.ML2021★ 3 cited
Intrinsic Dimension Estimation Using Wasserstein Distances
Adam Block, Zeyu Jia, Yury Polyanskiy +1
It has long been thought that high-dimensional data encountered in many practical machine learning tasks have low-dimensional structure, i.e., the manifold hypothesis holds. A natu…