Franois-Xavier Briol
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
3
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Cost-aware simulation-based inference. | Ayush Bharti, Daolang Huang, Samuel Kaski, Franois-Xavier Briol |
| 2025 | ICML | Nested Expectations with Kernel Quadrature. | Zonghao Chen, Masha Naslidnyk, Franois-Xavier Briol |
| 2025 | ICML | Robust and Conjugate Spatio-Temporal Gaussian Processes. | William Laplante, Matas Altamirano, Andrew B. Duncan, Jeremias Knoblauch, Franois-Xavier Briol |
| 2025 | ICML | Kernel Quantile Embeddings and Associated Probability Metrics. | Masha Naslidnyk, Siu Lun Chau, Franois-Xavier Briol, Krikamol Muandet |
| 2024 | ICML | Robust and Conjugate Gaussian Process Regression. | Matas Altamirano, Franois-Xavier Briol, Jeremias Knoblauch |
| 2024 | ICML | Outlier-robust Kalman Filtering through Generalised Bayes. | Gerardo Duran-Martin, Matas Altamirano, Alexander Y. Shestopaloff, Leandro Snchez-Betancourt, Jeremias Knoblauch, Matt Jones, Franois-Xavier Briol, Kevin Patrick Murphy |
| 2024 | UAI | Conditional Bayesian Quadrature. | Zonghao Chen, Masha Naslidnyk, Arthur Gretton, Franois-Xavier Briol |
| 2023 | AISTATS | Multilevel Bayesian Quadrature. | Kaiyu Li, Daniel Giles, Toni Karvonen, Serge Guillas, Franois-Xavier Briol |
| 2023 | ICML | Robust and Scalable Bayesian Online Changepoint Detection. | Matas Altamirano, Franois-Xavier Briol, Jeremias Knoblauch |
| 2023 | ICML | Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference. | Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, Franois-Xavier Briol |
| 2023 | ICML | Vector-Valued Control Variates. | Zhuo Sun, Alessandro Barp, Franois-Xavier Briol |
| 2023 | UAI | Baysian numerical integration with neural networks. | Katharina Ott, Michael Tiemann, Philipp Hennig, Franois-Xavier Briol |
| 2023 | UAI | Meta-learning Control Variates: Variance Reduction with Limited Data. | Zhuo Sun, Chris J. Oates, Franois-Xavier Briol |
| 2022 | AISTATS | Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap. | Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas, Franois-Xavier Briol |
| 2019 | ICML | Stein Point Markov Chain Monte Carlo. | Wilson Ye Chen, Alessandro Barp, Franois-Xavier Briol, Jackson Gorham, Mark A. Girolami, Lester W. Mackey, Chris J. Oates |
| 2018 | ICML | Stein Points. | Wilson Ye Chen, Lester W. Mackey, Jackson Gorham, Franois-Xavier Briol, Chris J. Oates |
| 2018 | ICML | Bayesian Quadrature for Multiple Related Integrals. | Xiaoyue Xi, Franois-Xavier Briol, Mark A. Girolami |
| 2017 | ICML | On the Sampling Problem for Kernel Quadrature. | Franois-Xavier Briol, Chris J. Oates, Jon Cockayne, Wilson Ye Chen, Mark A. Girolami |