Simon Bartels

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 11

Top Topics

Hyperparameters

Top Venues

J. Mach. Learn. Res.

Publications

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 (2024)
Richard Michael, Simon Bartels, Miguel González Duque, Yevgen Zainchkovskyy, Jes Frellsen, Søren Hauberg, Wouter Boomsma
A Continuous Relaxation for Discrete Bayesian Optimization. CoRR (2024)
Simon Bartels, Wouter Boomsma, Jes Frellsen, Damien Garreau
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition. J. Mach. Learn. Res. 24 (2023)
Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg
Adaptive Cholesky Gaussian Processes. AISTATS (2023)
Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg
Adaptive Cholesky Gaussian Processes. CoRR (2022)
Simon Bartels, Philipp Hennig
Conjugate Gradients for Kernel Machines. J. Mach. Learn. Res. 21 (2020)
Simon Bartels, Jon Cockayne, Ilse C. F. Ipsen, Philipp Hennig
Probabilistic linear solvers: a unifying view. Stat. Comput. 29 (6) (2019)
Simon Bartels, Philipp Hennig
Conjugate Gradients for Kernel Machines. CoRR (2019)
Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets. AISTATS (2017)
Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets. CoRR (2016)
Simon Bartels, Philipp Hennig
Probabilistic Approximate Least-Squares. AISTATS (2016)