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Fast Cross-Validation via Sequential Testing
v1v2v3v4v5v6 (latest)

Fast Cross-Validation via Sequential Testing

11 June 2012
Tammo Krueger
Danny Panknin
M. Braun
ArXiv (abs)PDFHTML

Papers citing "Fast Cross-Validation via Sequential Testing"

15 / 15 papers shown
Title
Don't Waste Your Time: Early Stopping Cross-Validation
Don't Waste Your Time: Early Stopping Cross-Validation
Eddie Bergman
Lennart Purucker
Frank Hutter
81
6
0
06 May 2024
ASP: Automatic Selection of Proxy dataset for efficient AutoML
ASP: Automatic Selection of Proxy dataset for efficient AutoML
Peng Yao
Chao Liao
Jiyuan Jia
Jianchao Tan
Bin Chen
Chengru Song
Di Zhang
59
3
0
17 Oct 2023
HyperImpute: Generalized Iterative Imputation with Automatic Model
  Selection
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
Daniel Jarrett
B. Cebere
Tennison Liu
Alicia Curth
M. Schaar
63
78
0
15 Jun 2022
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient
  Hyper-parameter Tuning
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
Krishnateja Killamsetty
Guttu Sai Abhishek
Aakriti
A. Evfimievski
Lucian Popa
Ganesh Ramakrishnan
Rishabh K. Iyer
57
26
0
15 Mar 2022
Using Sequential Statistical Tests for Efficient Hyperparameter Tuning
Using Sequential Statistical Tests for Efficient Hyperparameter Tuning
P. Buczak
A. Groll
Markus Pauly
J. Rehof
Daniel Horn
42
2
0
23 Dec 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
117
9
0
20 Oct 2021
How to tune the RBF SVM hyperparameters?: An empirical evaluation of 18
  search algorithms
How to tune the RBF SVM hyperparameters?: An empirical evaluation of 18 search algorithms
Jacques Wainer
Pablo Fonseca
59
37
0
26 Aug 2020
Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning
Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning
Liam Li
Evan R. Sparks
Kevin Jamieson
Ameet Talwalkar
33
9
0
12 Mar 2019
Progressive Sampling-Based Bayesian Optimization for Efficient and
  Automatic Machine Learning Model Selection
Progressive Sampling-Based Bayesian Optimization for Efficient and Automatic Machine Learning Model Selection
Xueqiang Zeng
G. Luo
54
75
0
06 Dec 2018
A System for Massively Parallel Hyperparameter Tuning
A System for Massively Parallel Hyperparameter Tuning
Liam Li
Kevin Jamieson
Afshin Rostamizadeh
Ekaterina Gonina
Moritz Hardt
Benjamin Recht
Ameet Talwalkar
101
388
0
13 Oct 2018
Best arm identification in multi-armed bandits with delayed feedback
Best arm identification in multi-armed bandits with delayed feedback
Aditya Grover
Todor Markov
Patrick Attia
Norman Jin
Nicholas Perkins
...
M. Chen
Zi Yang
Stephen J. Harris
W. Chueh
Stefano Ermon
63
74
0
29 Mar 2018
Bootstrapping the Out-of-sample Predictions for Efficient and Accurate
  Cross-Validation
Bootstrapping the Out-of-sample Predictions for Efficient and Accurate Cross-Validation
Ioannis Tsamardinos
Elissavet Greasidou
Michalis Tsagris
Giorgos Borboudakis
OnRL
57
172
0
23 Aug 2017
Statistical comparison of classifiers through Bayesian hierarchical
  modelling
Statistical comparison of classifiers through Bayesian hierarchical modelling
Giorgio Corani
A. Benavoli
J. Demšar
Francesca Mangili
Marco Zaffalon
57
55
0
28 Sep 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large
  Datasets
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein
Stefan Falkner
Simon Bartels
Philipp Hennig
Frank Hutter
AI4CE
98
553
0
23 May 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Lisha Li
Kevin Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
258
2,343
0
21 Mar 2016
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