Author

Gongjun Xu

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Preprint Sep 2026

Marginal maximum likelihood estimation and asymptotic theory for latent variable models in high dimensions

This work addresses a longstanding gap in the statistical foundations of marginal maximum likelihood estimation for high-dimensional latent variable models. Marginal maximum likelihood estimation is widely used to fit latent variable models across the social sciences, ecology, and machine learning. Despite its broad us...

Cheng-Yu Cui, Gong-Jun Xu · 0 citations

Preprint Aug 2026

Conditional-Independence-Regularized Distributional Autoencoders for Mixed-Type Data

Mixed-type data containing both numerical and categorical variables arise in many scientific and real-world applications. Existing representation learning and generative modeling approaches typically focus either on reconstruction accuracy or unconditional data generation, but often fail to recover the full conditional...

Si-Yuan Tang, Gong-Jun Xu, Ji Zhu · 0 citations