Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

21 March 2016

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

50 / 286 papers shown

Title
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization Yimin Huang Yujun Li Hanrong Ye Zhenguo Li Zhihua Zhang 30 7 0 11 Jul 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 35 266 0 08 Jul 2020
Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network Tianyu Mu Hongzhi Wang Chunnan Wang Zheng Liang 15 1 0 07 Jul 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 40 126 0 01 Jul 2020
Fast and Low-cost Search for Efficient Cloud Configurations for HPC Workloads V. M. Rosário Thais A. Silva Camacho O. O. Napoli E. Borin 11 5 0 28 Jun 2020
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL Lucas Zimmer Marius Lindauer Frank Hutter MU 14 90 0 24 Jun 2020
Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees Ahnjae Shin Do Yoon Kim Joo Seong Jeong Byung-Gon Chun 22 4 0 22 Jun 2020
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network Magda Friedjungová Daniel Vasata Maksym Balatsko M. Jiřina DiffM SyDa GAN 14 12 0 21 Jun 2020
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization Xingchen Ma Matthew B. Blaschko 21 7 0 21 Jun 2020
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
A Multi-Phase Approach for Product Hierarchy Forecasting in Supply Chain Management: Application to MonarchFx Inc Sajjad Taghiyeh D. Lengacher Amir Hossein Sadeghi Amirreza Sahebifakhrabad R. Handfield AI4TS 28 15 0 16 Jun 2020
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors C. Coelho Aki Kuusela Shane Li Zhuang Hao T. Aarrestad Vladimir Loncar J. Ngadiuba M. Pierini Adrian Alan Pol S. Summers MQ 34 175 0 15 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 41 100 0 15 Jun 2020
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search Vu-Linh Nguyen Tam Le M. Yamada Michael A. Osborne AI4TS 26 37 0 13 Jun 2020
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing Nikita Klyuchnikov I. Trofimov Ekaterina Artemova Mikhail Salnikov M. Fedorov Evgeny Burnaev VLM 21 101 0 12 Jun 2020
Few-shot Neural Architecture Search Yiyang Zhao Linnan Wang Yuandong Tian Rodrigo Fonseca Tian Guo 28 90 0 11 Jun 2020
BanditPAM: Almost Linear Time $k$ -Medoids Clustering via Multi-Armed Bandits Mo Tiwari Martin Jinye Zhang James Mayclin Sebastian Thrun Chris Piech Ilan Shomorony 32 11 0 11 Jun 2020
Speedy Performance Estimation for Neural Architecture Search Binxin Ru Clare Lyle Lisa Schut M. Fil Mark van der Wilk Y. Gal 18 36 0 08 Jun 2020
Combinatorial Black-Box Optimization with Expert Advice Hamid Dadkhahi Karthikeyan Shanmugam Jesus Rios Payel Das Samuel C. Hoffman T. Loeffler S. Sankaranarayanan 25 16 0 06 Jun 2020
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding Bilal Abu-Salih Marwan Al-Tawil Ibrahim Aljarah Hossam Faris P. Wongthongtham 28 59 0 02 Jun 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 33 10 0 25 May 2020
Sherpa: Robust Hyperparameter Optimization for Machine Learning L. Hertel Julian Collado Peter Sadowski J. Ott Pierre Baldi 86 103 0 08 May 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 39 220 0 06 Mar 2020
Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters Bozhou Chen Kaixin Zhang Longshen Ou Chenmin Ba Hongzhi Wang Chunnan Wang 19 2 0 03 Mar 2020
Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation Martin Brossard Silvere Bonnabel Axel Barrau 24 125 0 25 Feb 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Zou FAtt TDI 25 108 0 23 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 29 484 0 12 Feb 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits Jack Parker-Holder Vu Nguyen Stephen J. Roberts OffRL 75 83 0 06 Feb 2020
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions Y. Sagduyu Yi Shi T. Erpek William C. Headley Bryse Flowers G. Stantchev Zhuo Lu AAML 20 39 0 24 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 30 48 0 22 Jan 2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems Isabelle Leang Ganesh Sistu Fabian Burger Andrei Bursuc S. Yogamani 30 53 0 07 Jan 2020
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search Xuanyi Dong Yi Yang 46 697 0 02 Jan 2020
Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters Hesham Mostafa FedML 31 39 0 30 Dec 2019
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 30 196 0 12 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 30 403 0 06 Nov 2019
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks Y. Sagduyu Yi Shi T. Erpek AAML 27 83 0 01 Nov 2019
DeepWiFi: Cognitive WiFi with Deep Learning Kemal Davaslioglu S. Soltani T. Erpek Y. Sagduyu 21 45 0 29 Oct 2019
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search Colin White Willie Neiswanger Yash Savani BDL 45 313 0 25 Oct 2019
ReNAS:Relativistic Evaluation of Neural Architecture Search Yixing Xu Yunhe Wang Avishkar Bhoopchand Christopher Mattern A. Grabska-Barwinska Chunjing Xu Chang Xu 27 82 0 30 Sep 2019
Towards modular and programmable architecture search Renato M. P. Negrinho Darshan Patil Nghia T. Le Daniel C. Ferreira Matthew R. Gormley Geoffrey J. Gordon 24 26 0 30 Sep 2019
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning Valerio Perrone Huibin Shen Matthias Seeger Cédric Archambeau Rodolphe Jenatton 27 96 0 27 Sep 2019
Balsam: Automated Scheduling and Execution of Dynamic, Data-Intensive HPC Workflows Michael A. Salim T. Uram J. T. Childers Prasanna Balaprakash V. Vishwanath M. Papka 13 37 0 18 Sep 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 22 1,423 0 02 Aug 2019
Hyperparameter Optimisation with Early Termination of Poor Performers D. Marinov Daniel Karapetyan 13 10 0 19 Jul 2019
Automated Machine Learning in Practice: State of the Art and Recent Results Lukas Tuggener Mohammadreza Amirian Katharina Rombach Stefan Lörwald Anastasia Varlet Christian Westermann Thilo Stadelmann 21 63 0 19 Jul 2019
Exploration by Optimisation in Partial Monitoring Tor Lattimore Csaba Szepesvári 31 38 0 12 Jul 2019
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates Ning Liu Xiaolong Ma Zhiyuan Xu Yanzhi Wang Jian Tang Jieping Ye 43 185 0 06 Jul 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 24 51 0 02 Jul 2019
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training William Harvey Michael Teng Frank Wood 31 4 0 13 Jun 2019
Model Similarity Mitigates Test Set Overuse Horia Mania John Miller Ludwig Schmidt Moritz Hardt Benjamin Recht 20 50 0 29 May 2019