Hyperparameter Transfer Learning with Adaptive Complexity

Hyperparameter Transfer Learning with Adaptive Complexity

25 February 2021

Samuel Horváth

Peter Richtárik

Cédric Archambeau

Papers citing "Hyperparameter Transfer Learning with Adaptive Complexity"

13 / 13 papers shown

Title
MUMBO: MUlti-task Max-value Bayesian Optimization Henry B. Moss David S. Leslie Paul Rayson 36 34 0 22 Jun 2020
Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization Aaron Klein Frank Hutter 17 92 0 13 May 2019
Hyperparameter Learning via Distributional Transfer H. Law P. Zhao Lucian Chan Junzhou Huang Dino Sejdinovic 42 25 0 15 Oct 2018
A Tutorial on Bayesian Optimization P. Frazier GP 65 1,759 0 08 Jul 2018
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 79 2,817 0 15 Jun 2017
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 41 2,243 0 03 Dec 2015
Spectral Representations for Convolutional Neural Networks Oren Rippel Jasper Snoek Ryan P. Adams 38 328 0 11 Jun 2015
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 64 1,039 0 19 Feb 2015
OpenML: networked science in machine learning Joaquin Vanschoren Jan N. van Rijn B. Bischl Luís Torgo FedML AI4CE 35 1,310 0 29 Jul 2014
Learning Ordered Representations with Nested Dropout Oren Rippel M. Gelbart Ryan P. Adams SSL 55 88 0 05 Feb 2014
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 203 7,883 0 13 Jun 2012
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 76 671 0 06 Dec 2011
Portfolio Allocation for Bayesian Optimization E. Brochu Matthew W. Hoffman Nando de Freitas 107 279 0 28 Sep 2010

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