Showing stat.MLShow all
2 papers · 1 filter
stat.ML2026
Distribution Shift in Missing Data Imputation: A Risk-Based Perspective and Importance-Weighted Correction under MAR
Luke Shannon, Song Liu, Katarzyna Reluga
Missing data imputation, where a model is trained on observed data to estimate unobserved values, is a fundamental problem in machine learning. In this paper, we rigorously formula…
stat.ML2025
Score Matching With Missing Data
Josh Givens, Song Liu, Henry W J Reeve
Score matching is a vital tool for learning the distribution of data with applications across many areas including diffusion processes, energy based modelling, and graphical model…