Erik Daxberger
Erik Daxberger
PhD at University of Cambridge & MPI for Intelligent Systems
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Embedding Models for Episodic Knowledge Graphs
Y Ma, V Tresp, EA Daxberger
Journal of Web Semantics, 2018
362018
Distributed Batch Gaussian Process Optimization
EA Daxberger, BKH Low
ICML 2017, 2017
322017
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection
E Daxberger, JM Hernández-Lobato
Bayesian Deep Learning Workshop, NeurIPS 2019, 2019
152019
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
A Tripp*, E Daxberger*, JM Hernández-Lobato
NeurIPS 2020, 2020
142020
Mixed-Variable Bayesian Optimization
E Daxberger*, A Makarova*, M Turchetta, A Krause
IJCAI 2020, 2020
102020
Bayesian Deep Learning via Subnetwork Inference
E Daxberger, E Nalisnick*, JU Allingham*, J Antorán*, ...
ICML 2021, 2020
5*2020
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Articles 1–6