Yao XieHypothesis test
Kernel two-sample tests for manifold data.
Variable selection for kernel two-sample tests.
Statistical and computational guarantees of kernel max-sliced Wasserstein distances.
Non-convex robust hypothesis testing using sinkhorn uncertainty sets.
Neural Stein critics with staged L2-regularization.
A manifold two-sample test study: Integral probability metric with neural networks.
Two-sample test with kernel projected Wasserstein distance. (GitHub)
A data-driven approach to robust hypothesis testing using sinkhorn uncertainty sets.
Neural tangent kernel maximum mean discrepancy.
Goodness-of-fit tests on manifolds.
Optimality of graph scanning statistic for online community detection.
On characteristic rank for matrix and tensor completion.
Testing rank of incomplete unimodal matrices.
Goodness-of-fit test for mismatched self-exciting processes.
Two-sample test using projected Wasserstein distance: Breaking the curse of dimensionality.
Statistical rank selection for incomplete low-rank matrices.
Robust hypothesis testing using Wasserstein uncertainty sets. |