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Fast Cross-Validation via Sequential Testing
v1v2v3v4v5v6 (latest)

Fast Cross-Validation via Sequential Testing

Journal of machine learning research (JMLR), 2012
11 June 2012
Tammo Krueger
Danny Panknin
M. Braun
ArXiv (abs)PDFHTML

Papers citing "Fast Cross-Validation via Sequential Testing"

16 / 16 papers shown
Don't Waste Your Time: Early Stopping Cross-Validation
Don't Waste Your Time: Early Stopping Cross-Validation
Eddie Bergman
Lennart Purucker
Frank Hutter
373
12
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
Chen Zhang
283
5
0
17 Oct 2023
HyperImpute: Generalized Iterative Imputation with Automatic Model
  Selection
HyperImpute: Generalized Iterative Imputation with Automatic Model SelectionInternational Conference on Machine Learning (ICML), 2022
Daniel Jarrett
B. Cebere
Tennison Liu
Alicia Curth
M. Schaar
199
127
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 TuningNeural Information Processing Systems (NeurIPS), 2022
Krishnateja Killamsetty
Guttu Sai Abhishek
Aakriti
A. Evfimievski
Yatin Nandwani
Ganesh Ramakrishnan
Rishabh K. Iyer
165
32
0
15 Mar 2022
Using Sequential Statistical Tests for Efficient Hyperparameter Tuning
Using Sequential Statistical Tests for Efficient Hyperparameter TuningAStA Advances in Statistical Analysis (AStA), 2021
P. Buczak
A. Groll
Markus Pauly
J. Rehof
Daniel Horn
235
3
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
442
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
136
44
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
165
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
144
78
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
382
493
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
222
75
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
140
201
0
23 Aug 2017
Cross-validation
Cross-validation
S. Arlot
158
0
0
09 Mar 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
282
58
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
Katharina Eggensperger
AI4CE
334
601
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
660
2,706
0
21 Mar 2016
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