1 citations · 1 across the 4 of their papers we have counts for
4 papers
Inference and Uncertainty Quantification for Streaming -PCA
Haoshu Xu, Hongzhe Li
We address two open questions in streaming PCA via Oja's algorithm: sharp operator-norm convergence for general rank under sub-Gaussian data, and distributional inference for the r…
Test of partial effects for Frechet regression on Bures-Wasserstein manifolds
Haoshu Xu, Hongzhe Li
We propose a novel test for assessing partial effects in Fréchet regression with responses lying on the Bures-Wasserstein manifold. Under the null hypothesis, we show that the stat…
A Practical Theory of Generalization in Selectivity Learning
Peizhi Wu, Haoshu Xu, Ryan Marcus +1
Query-driven machine learning models have emerged as a promising estimation technique for query selectivities. Yet, surprisingly little is known about the efficacy of these techniq…
Wasserstein F-tests for Fréchet regression on Bures-Wasserstein manifolds
Haoshu Xu, Hongzhe Li
This paper considers the problem of regression analysis with random covariance matrix as outcome and Euclidean covariates in the framework of Fréchet regression on the Bures-Wasser…