Carl Hvarfner (Former)
1 – 7 of 7
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=""
width=""
height=""
allowtransparency="true"
frameborder="0">
</iframe>
- 2025
-
Mark
Leveraging axis-aligned subspaces for high-dimensional Bayesian optimization with group testing
Hellsten, Erik LU
; Hvarfner, Carl
LU
; Papenmeier, Leonard
LU
and Nardi, Luigi
LU
(2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Bayesian optimization across the spectrum of knowledge : enhancing efficiency through beliefs, information and assumptions
(2025)
- Thesis › Doctoral thesis (compilation)
- 2024
-
Mark
A GENERAL FRAMEWORK FOR USER-GUIDED BAYESIAN OPTIMIZATION
(2024) 12th International Conference on Learning Representations, ICLR 2024
- Contribution to conference › Paper, not in proceeding
-
Mark
Vanilla Bayesian Optimization Performs Great in High Dimensions
Hvarfner, Carl LU ; Hellsten, Erik O. LU
and Nardi, Luigi
LU
(2024)
41st International Conference on Machine Learning, ICML 2024
In Proceedings of Machine Learning Research
235.
p.20793-20817
- Contribution to journal › Article
- 2022
-
Mark
Joint Entropy Search for Maximally-Informed Bayesian Optimization
(2022) 36th Conference on Neural Information Processing Systems, NeurIPS 2022
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Learning Skill-based Industrial Robot Tasks with User Priors
Mayr, Matthias LU
; Hvarfner, Carl
LU
; Chatzilygeroudis, Konstantinos
; Nardi, Luigi
LU
and Krueger, Volker
LU
(2022)
IEEE 18th International Conference on Automation Science and Engineering (IEEE CASE2022)
p.1485-1492
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
(2022) Tenth International Conference of Learning Representations, ICLR 2022
- Contribution to conference › Paper, not in proceeding