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Selecting Near-Optimal Learners via Incremental Data Allocation

Selecting Near-Optimal Learners via Incremental Data Allocation

31 December 2015
Ashish Sabharwal
Horst Samulowitz
Gerald Tesauro
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Papers citing "Selecting Near-Optimal Learners via Incremental Data Allocation"

12 / 12 papers shown
Title
Learning Curves for Decision Making in Supervised Machine Learning: A Survey
Learning Curves for Decision Making in Supervised Machine Learning: A Survey
F. Mohr
Jan N. van Rijn
41
54
0
28 Jan 2022
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
Yi Zhou
Parikshit Ram
Theodoros Salonidis
Nathalie Baracaldo
Horst Samulowitz
Heiko Ludwig
AI4CE
37
25
0
15 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
31
9
0
20 Oct 2021
Efficient Automatic CASH via Rising Bandits
Efficient Automatic CASH via Rising Bandits
Yang Li
Jiawei Jiang
Jinyang Gao
Yingxia Shao
Ce Zhang
Bin Cui
21
34
0
08 Dec 2020
Solving Constrained CASH Problems with ADMM
Solving Constrained CASH Problems with ADMM
Parikshit Ram
Sijia Liu
Deepak Vijaykeerthi
Dakuo Wang
Djallel Bouneffouf
Gregory Bramble
Horst Samulowitz
Alexander G. Gray
33
3
0
17 Jun 2020
Better Trees: An empirical study on hyperparameter tuning of
  classification decision tree induction algorithms
Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms
R. G. Mantovani
Tomáš Horváth
André L. D. Rossi
R. Cerri
Sylvio Barbon Junior
Joaquin Vanschoren
A. Carvalho
28
39
0
05 Dec 2018
A System for Massively Parallel Hyperparameter Tuning
A System for Massively Parallel Hyperparameter Tuning
Liam Li
Kevin G. Jamieson
Afshin Rostamizadeh
Ekaterina Gonina
Moritz Hardt
Benjamin Recht
Ameet Talwalkar
24
372
0
13 Oct 2018
An effective algorithm for hyperparameter optimization of neural
  networks
An effective algorithm for hyperparameter optimization of neural networks
G. I. Diaz
Achille Fokoue
G. Nannicini
Horst Samulowitz
26
156
0
23 May 2017
REMIX: Automated Exploration for Interactive Outlier Detection
REMIX: Automated Exploration for Interactive Outlier Detection
Yanjie Fu
Charu C. Aggarwal
Srinivasan Parthasarathy
D. Turaga
Hui Xiong
17
5
0
17 May 2017
DeepArchitect: Automatically Designing and Training Deep Architectures
DeepArchitect: Automatically Designing and Training Deep Architectures
Renato M. P. Negrinho
Geoffrey J. Gordon
25
185
0
28 Apr 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations
Multi-fidelity Bayesian Optimisation with Continuous Approximations
Kirthevasan Kandasamy
Gautam Dasarathy
J. Schneider
Barnabás Póczós
21
220
0
18 Mar 2017
Multi-fidelity Gaussian Process Bandit Optimisation
Multi-fidelity Gaussian Process Bandit Optimisation
Kirthevasan Kandasamy
Gautam Dasarathy
Junier B. Oliva
J. Schneider
Barnabás Póczós
14
76
0
20 Mar 2016
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