Personal Notes in Reading PapersThis page collects my notes and thoughts on the interesting papers that I read.
Learning Bayesian Network Structure by Self-Generating Prior Information: The Two-step Clustering-based StrategyAAAI-18 Health Intelligence Workshop at New Orleans, USA (February 2018)
Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional DataJoint Statistical Meeting 2021, Seattle USA (August 2021, Virtual)Geometric Data Analysis Reading Group, University of Washington (November 2020, Virtual)
Cosmic Filament Detection Through Directional Density RidgesClubear Online Seminar Series (ηηδΌ); Recording in Chinese (June 2023)School of Mathematics, Sun Yat-Sen University, Guangzhou, China (September 2022)Cosmic Cartography, 2022 at Kashiwa, Japan (March 2022, Virtual)Shanghai Astronomical Observatory, Chinese Academy of Sciences (July 2021)
Efficient Inference on High-Dimensional Linear Models With Missing OutcomesCausal and Missing Data Reading Group, Seattle USA (November 2023)