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Raiders of the Lost Architecture: Kernels for Bayesian Optimization in
  Conditional Parameter Spaces

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
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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