Distributed Batch Gaussian Process Optimization EA Daxberger, BKH Low ICML 2017, 2017 | 31 | 2017 |
Embedding Models for Episodic Knowledge Graphs Y Ma, V Tresp, EA Daxberger Journal of Web Semantics, 2018 | 26* | 2018 |
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection E Daxberger, JM Hernández-Lobato Bayesian Deep Learning Workshop, NeurIPS 2019, 2019 | 9 | 2019 |
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining A Tripp*, E Daxberger*, JM Hernández-Lobato NeurIPS 2020, 2020 | 8 | 2020 |
Mixed-Variable Bayesian Optimization E Daxberger*, A Makarova*, M Turchetta, A Krause IJCAI 2020, 2020 | 7 | 2020 |
Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference E Daxberger, E Nalisnick*, JU Allingham*, J Antorán*, ... 3rd Symposium on Advances in Approximate Bayesian Inference (AABI 2020), 2020 | 1 | 2020 |