Alain Oliviero Durmus
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
3
Active years
2023–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation. | Paul Mangold, Alain Oliviero Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines |
| 2025 | AISTATS | Personalized Convolutional Dictionary Learning of Physiological Time Series. | Axel Roques, Samuel Gruffaz, Kyurae Kim, Alain Oliviero Durmus, Laurent Oudre |
| 2025 | ICLR | Variational Diffusion Posterior Sampling with Midpoint Guidance. | Badr Moufad, Yazid Janati, Lisa Bedin, Alain Oliviero Durmus, Randal Douc, Eric Moulines, Jimmy Olsson |
| 2025 | ICLR | Learned Reference-based Diffusion Sampler for multi-modal distributions. | Maxence Noble, Louis Grenioux, Marylou Gabri, Alain Oliviero Durmus |
| 2025 | ICLR | Watermark Anything With Localized Messages. | Tom Sander, Pierre Fernandez, Alain Oliviero Durmus, Teddy Furon, Matthijs Douze |
| 2025 | ICLR | Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models. | Dario Shariatian, Umut Simsekli, Alain Oliviero Durmus |
| 2025 | ICLR | Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson-Romberg Extrapolation. | Marina Sheshukova, Denis Belomestny, Alain Oliviero Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov |
| 2025 | ICML | Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms. | Andrea Bertazzi, Tim Johnston, Gareth O. Roberts, Alain Oliviero Durmus |
| 2025 | ICML | Prediction-Aware Learning in Multi-Agent Systems. | Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Oliviero Durmus |
| 2025 | ICML | A Mixture-Based Framework for Guiding Diffusion Models. | Yazid Janati, Badr Moufad, Mehdi Abou El Qassime, Alain Oliviero Durmus, Eric Moulines, Jimmy Olsson |
| 2025 | ICML | Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up. | Paul Mangold, Alain Oliviero Durmus, Aymeric Dieuleveut, Eric Moulines |
| 2025 | ICML | Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions. | Le-Tuyet-Nhi Pham, Dario Shariatian, Antonio Ocello, Giovanni Conforti, Alain Oliviero Durmus |
| 2024 | ICML | VITS : Variational Inference Thompson Sampling for contextual bandits. | Pierre Clavier, Tom Huix, Alain Oliviero Durmus |
| 2024 | ICML | Stochastic Localization via Iterative Posterior Sampling. | Louis Grenioux, Maxence Noble, Marylou Gabri, Alain Oliviero Durmus |
| 2024 | ICML | Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians. | Tom Huix, Anna Korba, Alain Oliviero Durmus, Eric Moulines |
| 2024 | ICML | Differentially Private Representation Learning via Image Captioning. | Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Oliviero Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo |
| 2024 | ICML | Incentivized Learning in Principal-Agent Bandit Games. | Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Oliviero Durmus |
| 2023 | ICML | On Sampling with Approximate Transport Maps. | Louis Grenioux, Alain Oliviero Durmus, Eric Moulines, Marylou Gabri |