Bayesian Nonlinear Support Vector Machines for Big Data F Wenzel, T Galy-Fajou, M Deutsch, M Kloft ECML 2017, 2017 | 38 | 2017 |
Efficient Gaussian process classification using Pòlya-Gamma data augmentation F Wenzel, T Galy-Fajou, C Donner, M Kloft, M Opper AAAI 19, 2018 | 32 | 2018 |
Multi-class gaussian process classification made conjugate: Efficient inference via data augmentation T Galy-Fajou, F Wenzel, C Donner, M Opper UAI 2019, 2019 | 21 | 2019 |
Adaptive inducing points selection for gaussian processes T Galy-Fajou, M Opper arXiv preprint arXiv:2107.10066, 2021 | 10 | 2021 |
Flexible and efficient inference with particles for the variational Gaussian approximation T Galy-Fajou, V Perrone, M Opper Entropy 23 (8), 990, 2021 | 7 | 2021 |
Automated augmented conjugate inference for non-conjugate gaussian process models T Galy-Fajou, F Wenzel, M Opper International Conference on Artificial Intelligence and Statistics, 3025-3035, 2020 | 4 | 2020 |
Scalable multi-class Gaussian process classification via data augmentation T Galy-Fajou, F Wenzel, C Donner, M Opper Proc. NIPS Workshop Approx. Inference, 1-12, 2018 | 2 | 2018 |
Evidence Estimation by Kullback-Leibler Integration for Flow-Based Methods N Zaki, T Galy-Fajou, M Opper Third Symposium on Advances in Approximate Bayesian Inference, 2021 | 1 | 2021 |
Scalable logit gaussian process classification F Wenzel, T Galy-Fajou, C Donner, M Kloft, M Opper Advances in Approximate Bayesian Inference, NIPS Workshop, 2017 | 1 | 2017 |
Scalable Approximate Inference for the Bayesian Nonlinear Support Vector Machine F Wenzel, M Deutsch, T Galy-Fajou, M Kloft Proceedings of the 30th Conference on Neural Information Processing Systems …, 2016 | 1 | 2016 |
Latent variable augmentation for approximate Bayesian inference T Galy-Fajou | | 2023 |
Gaussian density parametrization flow: Particle and stochastic approaches T Galy-Fajou, V Perrone, M Opper | | 2022 |
Fast Inference in Non-Conjugate Gaussian Process Models via Data Augmentation F Wenzel, T Galy-Fajou, C Donner, M Kloft, M Opper | | |