Research
Published and accepted papers
Hypothesis Test and Confidence Analysis with Wasserstein Distance on General Dimension (with M. Imaizumi and T. Hamaguchi). Neural Computation. 34 (6), 2022, 1448--1487.
Quantile Regression Approach to Conditional Mode Estimation (with K. Kato and S. Hara), Electron. J. Statist. 13, 2019, 3120--3160. arXiv:1811.05379.
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator (with M. Yamada, D. Wu, Y. H. Tsai, R. Salakhutdinov, I. Takeuchi, and K. Fukumizu). ICLR2019.
Working Papers
Quantile Approach to Intertemporal Consumption with Multiple Assets (with A. Galvao and L. de Castro). submitted.
Conformalized testing for √n-outlier without any reference set.
Outlier detection and inference in contaminated high-dimensional linear models (with M. Xie and L. Zhang)
A simple method to improve inference accuracy for linear functionals of a semi-supervised regression model.
Working Projects
Uniform inference on quantile models (with A. Galvao and L. de Castro)
Technical Reports
Semi-parametric Estimation of Weighted Average Derivative of Single Index Modal Regression Model