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Journal Articles
- 2024
[j4]Richard Michael
, Jacob Kæstel-Hansen, Peter Mørch Groth, Simon Bartels, Jesper Salomon, Pengfei Tian, Nikos S. Hatzakis, Wouter Boomsma:
A systematic analysis of regression models for protein engineering. PLoS Comput. Biol. 20(5): 1012061 (2024)- 2023
- [j3]Simon Bartels, Wouter Boomsma, Jes Frellsen, Damien Garreau:
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition. J. Mach. Learn. Res. 24: 71:1-71:57 (2023) - 2020
- [j2]Simon Bartels, Philipp Hennig:
Conjugate Gradients for Kernel Machines. J. Mach. Learn. Res. 21: 55:1-55:42 (2020) - 2019
- [j1]Simon Bartels, Jon Cockayne, Ilse C. F. Ipsen, Philipp Hennig:
Probabilistic linear solvers: a unifying view. Stat. Comput. 29(6): 1249-1263 (2019)
Conference and Workshop Papers
- 2023
- [c3]Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg:
Adaptive Cholesky Gaussian Processes. AISTATS 2023: 408-452 - 2017
- [c2]Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter:
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets. AISTATS 2017: 528-536 - 2016
- [c1]Simon Bartels, Philipp Hennig:
Probabilistic Approximate Least-Squares. AISTATS 2016: 676-684
Informal and Other Publications
- 2024
- [i5]Richard Michael, Simon Bartels, Miguel González Duque, Yevgen Zainchkovskyy, Jes Frellsen, Søren Hauberg, Wouter Boomsma:
A Continuous Relaxation for Discrete Bayesian Optimization. CoRR abs/2404.17452 (2024) - [i4]Miguel González Duque, Richard Michael, Simon Bartels, Yevgen Zainchkovskyy, Søren Hauberg, Wouter Boomsma:
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences. CoRR abs/2406.04739 (2024) - 2022
- [i3]Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg:
Adaptive Cholesky Gaussian Processes. CoRR abs/2202.10769 (2022) - 2019
- [i2]Simon Bartels, Philipp Hennig:
Conjugate Gradients for Kernel Machines. CoRR abs/1911.06048 (2019) - 2016
- [i1]Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter:
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets. CoRR abs/1605.07079 (2016)
Coauthor Index
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