ICS Calendar

Abstract: We propose a tensor-based linear algebraic framework for density estimation and sampling. The method consists of two simple steps: first, smoothing the empirical density…

Abstract: Identifying covariates that modify treatment effects is a critical problem in causal inference. Yet existing data-adaptive methods lack rigorous error control, risking spurious findings…

Abstract: Modern decision-making systems, from online marketplaces to large language models (LLMs), increasingly rely on high-dimensional human feedback, where heterogeneous user preferences and massive feature…