Giacomo Zanella
20 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0001-6727-9884
Department of Decision Sciences and BIDSA, Bocconi University , Via Roentgen 1, 20136 Milan, Italy
Publications
- Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
- Parallel computations for Metropolis Markov chains with Picard maps — Biometrika 2026
- Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2026 (name-matched, not ORCID-linked)
- Partially factorized variational inference for high-dimensional mixed models — Biometrika 2025
- On the fundamental limitations of multi-proposal Markov chain Monte Carlo algorithms — Biometrika 2025
- Robust Leave-One-Out Cross-Validation for High-Dimensional Bayesian Models — Journal of the American Statistical Association 2024
- Dimension-free mixing times of Gibbs samplers for Bayesian hierarchical models — The Annals of Statistics 2024
- Bayesian Conjugacy in Probit, Tobit, Multinomial Probit and Extensions: A Review and New Results — Journal of the American Statistical Association 2023
- Clustering consistency with Dirichlet process mixtures — Biometrika 2023
- Optimal design of the Barker proposal and other locally balanced Metropolis–Hastings algorithms — Biometrika 2023
- Improving multiple-try Metropolis with local balancing — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
- Scalable and accurate variational Bayes for high-dimensional binary regression models — Biometrika 2022
- The Barker proposal: Combining robustness and efficiency in gradient-based MCMC — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
- Random Partition Models for Microclustering Tasks — Journal of the American Statistical Association 2022
- Informed Proposals for Local MCMC in Discrete Spaces — Journal of the American Statistical Association 2020
- Scalable inference for crossed random effects models — Biometrika 2020
- Scalable importance tempering and Bayesian variable selection — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2019 (name-matched, not ORCID-linked)
- Unbiased approximations of products of expectations — Biometrika 2019
- Random partition models and complementary clustering of Anglo-Saxon place-names — The Annals of Applied Statistics 2015
- Conjugate Gradient Methods for High-Dimensional GLMMs — Journal of the American Statistical Association