Maxime Vono
Orcid: 0000-0003-4859-965X
According to our database1,
Maxime Vono
authored at least 19 papers
between 2018 and 2024.
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
CoRR, 2024
Open Research Challenges for Private Advertising Systems Under Local Differential Privacy.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2022
High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm.
SIAM Rev., 2022
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting.
J. Mach. Learn. Res., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
J. Comput. Graph. Stat., 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Asymptotically exact data augmentation - Models and Monte Carlo sampling with applications to Bayesian inference. (Augmentation de modèles approchée : Modèles et échantillonnage Monte Carlo avec applications à l'inférence Bayésienne).
PhD thesis, 2020
2019
IEEE Trans. Signal Process., 2019
A Fully Bayesian Approach For Inferring Physical Properties With Credibility Intervals From Noisy Astronomical Data.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Sparse Bayesian Binary logistic Regression using the Split-and-Augmented Gibbs sampler.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018