Bartels, Simon

6 publications

NeurIPS 2024 A Survey and Benchmark of High-Dimensional Bayesian Optimization of Discrete Sequences Miguel González-Duque, Richard Michael, Simon Bartels, Yevgen Zainchkovskyy, Søren Hauberg, Wouter Boomsma

AISTATS 2023 Adaptive Cholesky Gaussian Processes Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Munoz, Wouter Boomsma, Jes Frellsen, Soren Hauberg

JMLR 2023 Kernel-Matrix Determinant Estimates from Stopped Cholesky Decomposition Simon Bartels, Wouter Boomsma, Jes Frellsen, Damien Garreau

JMLR 2020 Conjugate Gradients for Kernel Machines Simon Bartels, Philipp Hennig

AISTATS 2017 Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter

AISTATS 2016 Probabilistic Approximate Least-Squares Simon Bartels, Philipp Hennig