GZ
Giacomo Zanella
stat.COstat.MEstat.MLmath.STstat.THmath.PRcs.LGstat.APadaptive tuningBayesian computation
On Valency
published · living versionsW_xcecvstz·v1 · currentpublished
Flexible Models for Microclustering with Application to Entity Resolution
with Brenda Betancourt, Hanna Wallach, Jeffrey Miller, Abbas Zaidi +1
1 version
Preprints & journals
39 papers in the corpus · 2014–2026Schedule optimization for tau-leaping in masked discrete diffusion2609.21960v2 · Cecilia Secchi, Giacomo Zanella2026 · 0 citationsarXiv
Hamiltonian dynamics for sampling on discrete spaces2608.17961v1 · Raphael Barboni, Sebastiano Grazzi, Giacomo Zanella2026 · 0 citationsarXiv
Zeroth-order parallel sampling2601.19722v1 · Francesco Pozza, Giacomo Zanella2026 · 0 citationsarXiv
Complexity of Markov Chain Monte Carlo for Generalized Linear Models2512.12748v2 · Martin Chak, Giacomo Zanella2025 · 0 citationsarXiv
Error Bounds and Optimal Schedules for Masked Diffusions with Factorized Approximations2510.25544v2 · Hugo Lavenant, Giacomo Zanella2025 · 0 citationsarXiv
A fast non-reversible sampler for Bayesian mixture models2510.03226v2 · Filippo Ascolani, Paolo Manildo, Giacomo Zanella2025 · 0 citationsarXiv
Spectral gap of Metropolis-within-Gibbs under log-concavity2509.26175v2 · Cecilia Secchi, Giacomo Zanella2025 · 0 citationsarXiv
Parallel computations for Metropolis Markov chains with Picard maps2506.09762v2 · Sebastiano Grazzi, Giacomo Zanella2025 · 0 citationsarXiv
Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression2505.14343v2 · Filippo Ascolani, Giacomo Zanella2025 · 0 citationsarXiv
Foundations of locally-balanced Markov processes2504.13322v1 · Samuel Livingstone, Giorgos Vasdekis, Giacomo Zanella2025 · 0 citationsarXiv
Conjugate gradient methods for high-dimensional GLMMs2411.04729v2 · Andrea Pandolfi, Omiros Papaspiliopoulos, Giacomo Zanella2024 · 1 citationarXiv
On the fundamental limitations of multiproposal Markov chain Monte Carlo algorithms2410.23174v1 · Francesco Pozza, Giacomo Zanella2024 · 3 citationsarXiv
Optimal and computationally tractable lower bounds for logistic log-likelihoods2410.10309v2 · Niccolo Anceschi, Cristian Castiglione, Tommaso Rigon et al.2024 · 0 citationsarXiv
Entropy contraction of the Gibbs sampler under log-concavity2410.00858v2 · Filippo Ascolani, Hugo Lavenant, Giacomo Zanella2024 · 1 citationarXiv
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity2406.07292v2 · Hugo Lavenant, Giacomo Zanella2024 · 2 citationsarXiv
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics2405.08999v1 · Lorenzo Mauri, Giacomo Zanella2024 · 0 citationsProceedings of The 27th International Conference on Artificial Intelligence and Statistics, AISTATS'24, volume 238, 2024, page 2107-2115
Partially factorized variational inference for high-dimensional mixed models2312.13148v2 · Max Goplerud, Omiros Papaspiliopoulos, Giacomo Zanella2023 · 6 citationsarXiv
Dimension-free mixing times of Gibbs samplers for Bayesian hierarchical models2304.06993v2 · Filippo Ascolani, Giacomo Zanella2023 · 2 citationsarXiv
Improving multiple-try Metropolis with local balancing2211.11613v2 · Philippe Gagnon, Florian Maire, Giacomo Zanella2022 · 1 citationJournal of Machine Learning Research, 24(248), 1-59 (2023)
Robust leave-one-out cross-validation for high-dimensional Bayesian models2209.09190v2 · Luca Silva, Giacomo Zanella2022 · 22 citationsarXiv
Bayesian conjugacy in probit, tobit, multinomial probit and extensions: A review and new results2206.08118v3 · Niccolo Anceschi, Augusto Fasano, Daniele Durante et al.2022 · 25 citationsarXiv
Clustering consistency with Dirichlet process mixtures2205.12924v1 · Filippo Ascolani, Antonio Lijoi, Giovanni Rebaudo et al.2022 · 33 citationsBiometrika, 2022
The Barker proposal: Combining robustness and efficiency in gradient-based MCMC.35910401 · Livingstone, Samuel, Zanella, Giacomo2026 · 47 citationsJournal of the Royal Statistical Society. Series B, Statistical methodology. 2022;84(2):496-523
Optimal design of the Barker proposal and other locally-balanced Metropolis-Hastings algorithms2201.01123v1 · Jure Vogrinc, Samuel Livingstone, Giacomo Zanella2022 · 8 citationsarXiv
Scalable Bayesian computation for crossed and nested hierarchical models2103.10875v4 · Omiros Papaspiliopoulos, Timoth'ee Stumpf-F'etizon, Giacomo Zanella2021 · 6 citationsElectronic Journal of Statistics 17.2 (2023): 3575-3612
A fresh take on 'Barker dynamics' for MCMC2012.09731v3 · Max Hird, Samuel Livingstone, Giacomo Zanella2020 · 4 citationsarXiv
Random Partition Models for Microclustering Tasks2004.02008v1 · Brenda Betancourt, Giacomo Zanella, Rebecca C. Steorts2020 · 26 citationsarXiv
Scalable and Accurate Variational Bayes for High-Dimensional Binary Regression Models1911.06743v6 · Augusto Fasano, Daniele Durante, Giacomo Zanella2019 · 4 citationsarXiv
Scalable Importance Tempering and Bayesian Variable Selection1805.00541v2 · Giacomo Zanella, Gareth Roberts2018 · 37 citationsJ. R. Statist. Soc. B (2019) 81, Part 3, pp. 489-517
Scalable inference for crossed random effects models1803.09460v1 · Omiros Papaspiliopoulos, Gareth O. Roberts, Giacomo Zanella2018 · 24 citationsarXiv
Informed proposals for local MCMC in discrete spaces1711.07424v1 · Giacomo Zanella2017 · 83 citationsarXiv
Unbiased approximations of products of expectations1709.01002v1 · Anthony Lee, Simone Tiberi, Giacomo Zanella2017 · 6 citationsarXiv
A note on MCMC for nested multilevel regression models via belief propagation1704.06064v2 · Omiros Papaspiliopoulos, Giacomo Zanella2017 · 7 citationsarXiv
Multilevel linear models, Gibbs samplers and multigrid decompositions1703.06098v2 · Giacomo Zanella, Gareth Roberts2017 · 0 citationsarXiv
Flexible Models for Microclustering with Application to Entity Resolution1610.09780v1 · Giacomo Zanella, Brenda Betancourt, Hanna Wallach et al.2016 · 30 citationsarXivon Valency
A Dirichlet Form approach to MCMC Optimal Scaling1606.01528v2 · Giacomo Zanella, Wilfrid S. Kendall, Mylene B'edard2016 · 9 citationsarXiv
Role of preoperative serum creatinine and estimated glomerular filtration rate values in asymptomatic patients undergoing carotid endarterectomy.26327610 · Bissacco, Daniele, Catanese, Vincenzo, Fossati, Alessandro et al.2018 · 4 citationsThe Journal of cardiovascular surgery. 2018;59(3):412-418
Branching-stable point processes1503.01329v2 · Giacomo Zanella, Sergei Zuyev2015 · 0 citationsarXiv
Bayesian complementary clustering, MCMC and Anglo-Saxon placenames1409.6994v4 · Giacomo Zanella2014 · 0 citationsarXiv
Career total: 56 works. 39 are in this corpus.
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