Lin Liu
PulseAugur coverage of Lin Liu — every cluster mentioning Lin Liu across labs, papers, and developer communities, ranked by signal.
-
New research questions Double Machine Learning estimator admissibility
A new paper by Lin Liu and colleagues challenges the asymptotic inadmissibility of Double Machine Learning (DML) estimators within structure-agnostic (SA) models. While DML estimators were previously shown to be minimax…
-
New theory extends statistical efficiency to Riemannian manifolds
A new paper by Lin Liu proposes an asymptotic efficiency theory applicable to statistical models with non-Euclidean structures, such as Riemannian manifolds. This work extends existing theories, which are largely confin…
-
New Linear Causal Representation Learning Algorithm Developed
Researchers have developed a new algorithm for linear causal representation learning (CRL) that operates under weaker assumptions than existing methods. This novel approach aims to disentangle complex data-generating me…