Publications and Ongoing Works

Publications

• Mauri, L. and Dunson, D. B. (2025+) Factor pre-training in Bayesian multivariate logistic models. Biometrika, asaf056 [article] [arXiv].

• 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.°, Stolf, F.°, Herring, A. H., Miller, C., and Dunson, D. B. (2026) Pathway-based Bayesian factor model for gene expression data. Submitted [arXiv].

• Mauri, L. and Dunson, D. B. (2025) Inference on covariance structure in high-dimensional multiview data. Under revision [arXiv].

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

Ongoing Projects

• Mauri, L. and Dunson, D. B. (2026+) Overfitted matrix factorizations via adaptive spectral regularization. Working Paper.

• Mauri, L. (2026+) Hierarchical spectral estimation via subspace shrinkage. Working Paper.

• Mauri, L., Ferrari, F., Johnson, M., Gleich, S., Skomsky, D. and Liaw, A. (2026+) Bayesian modeling of predictive stability under generalized Arrhenius non-linear kinetics. Working Paper.

• Mauri, L. and Dunson, D. B. (2026+) Learning Predictive Low-Dimensional Representations for Complex Biological Data: a similarity-based approach to supervised dimensionality reduction. Working Paper.

• Mauri, L. and Dunson, D. B. (2026+) Sparse precision estimation via Bayesian decoupling. Working Paper.

° denotes equal contribution