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Linjun Huang

2 accepted papers

2025

Testing Conditional Mean Independence Using Generative Neural Networks

ICML 2025poster

Conditional mean independence (CMI) testing is crucial for statistical tasks including model determination and variable importance evaluation. In this work, we introduce a novel population CMI measure and a bootstrap-based testing procedure that utilizes deep generative neural networks to estimate t…

Cited by 0SourcePDFScholar
2024

Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow

AISTATS 2024poster

Motivated by the computation of the non-parametric maximum likelihood estimator (NPMLE) and the Bayesian posterior in statistics, this paper explores the problem of convex optimization over the space of all probability distributions. We introduce an implicit scheme, called the implicit KL proximal d…

Cited by 5SourcePDFScholar