Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

21 March 2016

Papers citing "Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization"

36 / 286 papers shown

Title
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development Micah J. Smith Carles Sala Cladellas James Max Kanter K. Veeramachaneni 24 49 0 22 May 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas J. Guibas Jitendra Malik Silvio Savarese 26 503 0 18 May 2019
CrossTrainer: Practical Domain Adaptation with Loss Reweighting Justin Chen Edward Gan Kexin Rong S. Suri Peter Bailis 22 4 0 07 May 2019
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares Rong Ge Sham Kakade Rahul Kidambi Praneeth Netrapalli 37 149 0 29 Apr 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc-André Zöller Marco F. Huber 25 86 0 26 Apr 2019
Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity Minsu Cho C. Hegde 21 11 0 24 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 38 128 0 17 Apr 2019
Hyper-Parameter Tuning for the (1+(λ,λ)) GA Nguyen Dang Carola Doerr 17 21 0 09 Apr 2019
A Survey on Practical Applications of Multi-Armed and Contextual Bandits Djallel Bouneffouf Irina Rish 19 119 0 02 Apr 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly Kirthevasan Kandasamy Karun Raju Vysyaraju Willie Neiswanger Biswajit Paria Christopher R. Collins J. Schneider Barnabás Póczós Eric Xing 29 174 0 15 Mar 2019
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations Tri Dao Albert Gu Matthew Eichhorn Atri Rudra Christopher Ré 24 102 0 14 Mar 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search Chris Ying Aaron Klein Esteban Real Eric Christiansen Kevin Patrick Murphy Frank Hutter 12 672 0 25 Feb 2019
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelines Aritra Chowdhury M. Magdon-Ismail B. Yener 35 0 0 21 Feb 2019
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives Tinu Theckel Joy Santu Rana Sunil R. Gupta Svetha Venkatesh 21 55 0 06 Feb 2019
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization Shion Takeno H. Fukuoka Yuhki Tsukada T. Koyama M. Shiga Ichiro Takeuchi Masayuki Karasuyama 21 40 0 24 Jan 2019
Medical code prediction with multi-view convolution and description-regularized label-dependent attention Najmeh Sadoughi Greg P. Finley James Fone Vignesh Murali M. Korenevsky Slava Baryshnikov Nico Axtmann Mark Miller D. Suendermann-Oeft MedIm 19 14 0 05 Nov 2018
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
Safe Grid Search with Optimal Complexity Eugène Ndiaye Tam Le Olivier Fercoq Joseph Salmon Ichiro Takeuchi 41 45 0 12 Oct 2018
On Kernel Derivative Approximation with Random Fourier Features Z. Szabó Bharath K. Sriperumbudur 32 12 0 11 Oct 2018
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms Jingwoong Kim Minkyu Kim Heungseok Park Ernar Kusdavletov Dongjun Lee A. Kim Ji-Hoon Kim Jung-Woo Ha Nako Sung 31 14 0 08 Oct 2018
OBOE: Collaborative Filtering for AutoML Model Selection Chengrun Yang Yuji Akimoto Dae Won Kim Madeleine Udell 21 100 0 09 Aug 2018
Teacher Guided Architecture Search P. Bashivan Mark Tensen J. DiCarlo 3DV 37 27 0 04 Aug 2018
Tune: A Research Platform for Distributed Model Selection and Training Richard Liaw Eric Liang Robert Nishihara Philipp Moritz Joseph E. Gonzalez Ion Stoica 33 882 0 13 Jul 2018
Bandit-Based Monte Carlo Optimization for Nearest Neighbors Vivek Bagaria Tavor Z. Baharav G. Kamath David Tse 13 12 0 21 May 2018
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 27 74 0 29 Mar 2018
Stochastic Hyperparameter Optimization through Hypernetworks Jonathan Lorraine David Duvenaud 41 139 0 26 Feb 2018
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation Simon Lucas Jialin Liu Diego Perez-Liebana 21 47 0 16 Feb 2018
Hyperparameter Optimization: A Spectral Approach Elad Hazan Adam R. Klivans Yang Yuan 30 118 0 02 Jun 2017
Accelerating Neural Architecture Search using Performance Prediction Bowen Baker O. Gupta Ramesh Raskar Nikhil Naik 15 30 0 30 May 2017
Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm Hiva Ghanbari K. Scheinberg TPM 13 26 0 20 Mar 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 21 220 0 18 Mar 2017
Easy over Hard: A Case Study on Deep Learning Wei Fu Tim Menzies 22 196 0 01 Mar 2017
Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming Andrew Sohn Randal S. Olson J. Moore LM&MA 26 23 0 06 Feb 2017
Applying Deep Learning to the Newsvendor Problem Afshin Oroojlooyjadid L. Snyder Martin Takáč OOD 23 128 0 07 Jul 2016
Multi-fidelity Gaussian Process Bandit Optimisation Kirthevasan Kandasamy Gautam Dasarathy Junier B. Oliva J. Schneider Barnabás Póczós 14 76 0 20 Mar 2016
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 86 280 0 09 Aug 2012