Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1409.4011
Cited By
Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces
14 September 2014
Kevin Swersky
David Duvenaud
Jasper Snoek
Frank Hutter
Michael A. Osborne
BDL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces"
11 / 11 papers shown
Title
Vanilla Bayesian Optimization Performs Great in High Dimensions
Carl Hvarfner
E. Hellsten
Luigi Nardi
32
17
0
03 Feb 2024
Neural Architecture Search for Dense Prediction Tasks in Computer Vision
T. Elsken
Arber Zela
J. H. Metzen
B. Staffler
Thomas Brox
Abhinav Valada
Frank Hutter
OOD
33
17
0
15 Feb 2022
Explaining Hyperparameter Optimization via Partial Dependence Plots
Julia Moosbauer
J. Herbinger
Giuseppe Casalicchio
Marius Lindauer
Bernd Bischl
47
56
0
08 Nov 2021
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation
Ross M. Clarke
E. T. Oldewage
José Miguel Hernández-Lobato
26
9
0
20 Oct 2021
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization
Xingchen Ma
Matthew B. Blaschko
21
7
0
21 Jun 2020
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
X. Chu
20
1,419
0
02 Aug 2019
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
Igor Fedorov
Ryan P. Adams
Matthew Mattina
P. Whatmough
13
164
0
28 May 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
Kirthevasan Kandasamy
Karun Raju Vysyaraju
W. Neiswanger
Biswajit Paria
Christopher R. Collins
J. Schneider
Barnabás Póczós
Eric P. Xing
29
174
0
15 Mar 2019
Bayesian Optimization of Combinatorial Structures
Ricardo Baptista
Matthias Poloczek
16
135
0
22 Jun 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
Ahmed Alaa
M. Schaar
18
85
0
20 Feb 2018
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
1