Publications
You can also find all my research works on my Google Scholar page.
Thesis
Asymptotically exact data augmentation – Models and Monte Carlo sampling with applications to Bayesian inference
Ph.D. thesis, Institut National Polytechnique de Toulouse, 2020
Preprints
- DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
F. Garrido-Lucero*, B. Heymann*, M. Vono*, P. Loiseau and V. Perchet
arXiv - Personalised Federated Learning On Heterogeneous Feature Spaces
A. Rakotomamonjy*, M. Vono*, H. Jesse Medina Ruiz and L. Ralaivola
arXiv
Journal papers
- Efficient MCMC sampling with dimension-free convergence rate using ADMM-type splitting
M. Vono*, D. Paulin* and A. Doucet
Journal of Machine Learning Research, vol. 23, no. 25, pp. 1-69, 2022
arXiv doi Xian's blog post - High-dimensional Gaussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm
M. Vono, N. Dobigeon and P. Chainais
SIAM Review, vol. 64, no. 1, pp. 3-56, 2022
arXiv pdf doi code - Asymptotically exact data augmentation: models, properties and algorithms
M. Vono, N. Dobigeon and P. Chainais
Journal of Computational and Graphical Statistics, vol. 30, no. 2, pp. 335-348, 2021
arXiv pdf doi code - Tracers of the ionization fraction in dense and translucent gas. I. Automated exploitation of massive astrochemical model grids
E. Bron et al.
Astronomy & Astrophysics, vol. 645, no. A28, January 2021
arXiv pdf doi - Quantitative inference of the H2 column densities from 3 mm molecular emission: A case study towards Orion B
P. Gratier et al.
Astronomy & Astrophysics, vol. 645, no. A27, January 2021
arXiv pdf doi - C18O, 13CO, and 12CO abundances and excitation temperatures in the Orion B molecular cloud
A. Roueff et al.
Astronomy & Astrophysics, vol. 645, no. A26, January 2021
arXiv pdf doi - Split-and-augmented Gibbs sampler - Application to large-scale inference problems
M. Vono, N. Dobigeon and P. Chainais
IEEE Transactions on Signal Processing, vol. 67, no. 6, pp. 1648-1661, March 2019
arXiv pdf doi bibtex code
International conference papers
- FedPop: A Bayesian Approach for Personalised Federated Learning
N. Kotelevskii*, M. Vono*, E. Moulines and A. Durmus
NeurIPS, New Orleans, USA, 2022
arXiv - QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning
M. Vono, V. Plassier, A. Durmus, A. Dieuleveut and E. Moulines
AISTATS, Online, 2022
arXiv - DG-LMC: a turn-key and scalable synchronous distributed MCMC algorithm via Langevin Monte Carlo within Gibbs
V. Plassier*, M. Vono*, A. Durmus* and E. Moulines
ICML, Online, 2021 [Long talk, top 14% of accepted papers]
arXiv pdf doi bibtex code - A fully Bayesian approach for inferring physical properties with credibility intervals from noisy astronomical data
M. Vono et al.
IEEE WHISPERS, Amsterdam, Netherlands, 2019
pdf doi bibtex - Bayesian image restoration under Poisson noise and log-concave prior
M. Vono, N. Dobigeon and P. Chainais
IEEE ICASSP, Brighton, U.K., 2019
pdf doi bibtex code - Efficient sampling through variable splitting-inspired Bayesian hierarchical models
M. Vono, N. Dobigeon and P. Chainais
IEEE ICASSP, Brighton, U.K., 2019
pdf doi bibtex code - Sparse Bayesian binary logistic regression using the split-and-augmented Gibbs sampler
M. Vono, N. Dobigeon and P. Chainais
IEEE MLSP, Aalborg, Denmark, 2018 [Finalist for the Best Student Paper Award]
pdf doi bibtex code
National conference papers
- Modèles augmentés asymptotiquement exacts
M. Vono, N. Dobigeon and P. Chainais
GRETSI, Lille, France, 2019
pdf bibtex - Un modèle augmenté asymptotiquement exact pour la restauration bayésienne d’images dégradées par un bruit de Poisson
M. Vono, N. Dobigeon and P. Chainais
GRETSI, Lille, France, 2019
pdf bibtex
* indicates equal contribution.