Simon Bartels
6 papers · 2016–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Hot Topic Early Bird
Venues
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Research topics
Keywords
gaussian process
(4)
cholesky decomposition
(2)
gaussian processes
(2)
bayesian optimization
(2)
kernel ridge regression
(2)
low-rank approximation
(1)
discrete optimization
(1)
exact inference
(1)
sequence optimization
(1)
kernel matrix
(1)
conjugate gradient
(1)
high-dimensional optimization
(1)
model evidence
(1)
determinantal point process
(1)
generative model
(1)
support vector machine
(1)
deep neural network
(1)
drug design
(1)
least square
(1)
protein engineering
(1)
Papers
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
NeurIPS 2024
Adaptive Cholesky Gaussian Processes
AISTATS 2023
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
JMLR 2023
Conjugate Gradients for Kernel Machines
JMLR 2020
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
AISTATS 2017
Probabilistic Approximate Least-Squares
AISTATS 2016