Publications and Ongoing Works

Publications

• Mauri, L. and Zanella, G. (2024). Robust Approximate Sampling via Stochastic Gradient Barker Dynamics. International Conference on Artificial Intelligence and Statistics (AISTATS), Oral Presentation (2% of submissions) [pdf].

Submitted

• Mauri, L. and Dunson, D. B. (2024). Factor pre-training in Bayesian multivariate logistic models. Under Revision [arxiv].

• Mauri, L., Anceschi, N., and Dunson, D. B. (2025). Spectral decomposition-assisted multi-study factor analysis. Submitted [arxiv].

Ongoing Projects

• Mauri, L., Tokdar, S. T. and Wang, H. (a-z) (2025+). Bayesian Density Estimation via the Tree-Logistic Gaussian Process Prior. Working Paper.

• Mauri, L. and Dunson, D. B. (2025+), Generalized Bayesian Kernel Similarity for Supervised Dimensionality Reduction. Working Paper.

• Mauri, L. and Dunson, D. B. (2025+), EigenBayes: Inference on covariance structure in high-dimensional multiview data. Working Paper.

• Mauri, L. and Dunson, D. B. (2025+), Empirical Bayes for pooled low-rank covariance estimation. Working Paper.

• Mauri, L., Stolf, F., Herring, A. H., and Dunson, D. B. (2025+), Pathways-based Bayesian factor model for gene expression data. Working Paper.