BOHB: Robust and Efficient Hyperparameter Optimization at Scale

4 July 2018

Papers citing "BOHB: Robust and Efficient Hyperparameter Optimization at Scale"

50 / 187 papers shown

Title
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Sehic Alexandre Gramfort Joseph Salmon Luigi Nardi 22 35 0 04 Nov 2021
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation Misgana Negassi Diane Wagner A. Reiterer 17 13 0 31 Oct 2021
Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific Andrew Jesson P. Manshausen A. Douglas D. Watson‐Parris Y. Gal P. Stier AI4Cl 24 6 0 28 Oct 2021
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation Ross M. Clarke E. T. Oldewage José Miguel Hernández-Lobato 28 9 0 20 Oct 2021
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies Yu Shen Yang Li Jian Zheng Wentao Zhang Peng Yao Jixiang Li Sen Yang Ji Liu Cui Bin AI4CE 42 30 0 20 Oct 2021
NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters Yoichi Hirose Nozomu Yoshinari Shinichi Shirakawa 19 13 0 19 Oct 2021
Improving Hyperparameter Optimization by Planning Ahead H. Jomaa Jonas K. Falkner Lars Schmidt-Thieme 22 0 0 15 Oct 2021
Tutorial on Deep Learning for Human Activity Recognition Marius Bock Alexander Hoelzemann Michael Moeller Kristof Van Laerhoven BDL HAI 6 2 0 13 Oct 2021
Identification of Metallic Objects using Spectral Magnetic Polarizability Tensor Signatures: Object Classification Ben A. Wilson P. Ledger W. Lionheart 9 18 0 13 Oct 2021
Delve into the Performance Degradation of Differentiable Architecture Search Jiuling Zhang Zhiming Ding 33 1 0 28 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 46 100 0 14 Sep 2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture Kaichen Zhou Lanqing Hong Shuailiang Hu Fengwei Zhou Binxin Ru Jiashi Feng Zhenguo Li 59 10 0 13 Sep 2021
Optimal Order Simple Regret for Gaussian Process Bandits Sattar Vakili N. Bouziani Sepehr Jalali A. Bernacchia Da-shan Shiu 31 51 0 20 Aug 2021
Is Differentiable Architecture Search truly a One-Shot Method? Jonas Geiping Jovita Lukasik M. Keuper Michael Moeller 25 0 0 12 Aug 2021
Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain Yuge Zhang Quan Zhang Li Zhang Yaming Yang Chenqian Yan Xiaotian Gao Yuqing Yang 33 0 0 06 Aug 2021
HyperJump: Accelerating HyperBand via Risk Modelling Pedro Mendes Maria Casimiro Paolo Romano David Garlan 22 7 0 05 Aug 2021
Deep multi-task mining Calabi-Yau four-folds Harold Erbin Riccardo Finotello Robin Schneider M. Tamaazousti 35 17 0 04 Aug 2021
Homogeneous Architecture Augmentation for Neural Predictor Yuqiao Liu Yehui Tang Yizhou Sun 34 22 0 28 Jul 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition Yang Li Yu Shen Wentao Zhang Jiawei Jiang Bolin Ding ... Jingren Zhou Zhi-Xin Yang Wentao Wu Ce Zhang Bin Cui LRM 29 44 0 19 Jul 2021
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy Nilotpal Sinha Kuan-Wen Chen 18 5 0 15 Jul 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 82 448 0 13 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 40 43 0 02 Jul 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 30 60 0 12 Jun 2021
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization E. Lee David Eriksson Valerio Perrone Matthias Seeger 35 22 0 10 Jun 2021
A multi-objective perspective on jointly tuning hardware and hyperparameters David Salinas Valerio Perrone Olivier Cruchant Cédric Archambeau 32 13 0 10 Jun 2021
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization Julia Guerrero-Viu Sven Hauns Sergio Izquierdo Guilherme Miotto Simon Schrodi André Biedenkapp T. Elsken Difan Deng Marius Lindauer Frank Hutter AI4CE 17 25 0 03 May 2021
On Evolving Attention Towards Domain Adaptation Kekai Sheng Ke Li Xiawu Zheng Jian Liang Weiming Dong Feiyue Huang Rongrong Ji Xing Sun 36 7 0 25 Mar 2021
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge Francisco Rivera Valverde Juana Valeria Hurtado Abhinav Valada 26 72 0 01 Mar 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning Bangnig Zhang Raghunandan Rajan Luis Pineda Nathan Lambert André Biedenkapp Kurtland Chua Frank Hutter Roberto Calandra 26 100 0 26 Feb 2021
CATE: Computation-aware Neural Architecture Encoding with Transformers Shen Yan Kaiqiang Song Z. Feng Mi Zhang 22 24 0 14 Feb 2021
Hyperboost: Hyperparameter Optimization by Gradient Boosting surrogate models Jeroen van Hoof Joaquin Vanschoren BDL 27 9 0 06 Jan 2021
Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks Björn W. Schuller H. Coppock Alexander Gaskell 41 63 0 29 Dec 2020
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization Valerio Perrone Huibin Shen Aida Zolic I. Shcherbatyi Amr Ahmed ... Barbara Pogorzelska Miroslav Miladinovic K. Kenthapadi Matthias Seeger Cédric Archambeau 31 16 0 15 Dec 2020
Amazon SageMaker Autopilot: a white box AutoML solution at scale Piali Das Laurence Rouesnel Nikita Ivkin Tanya Bansal Zohar Karnin ... Giovanni Zappella Cedric Archembeau Matthias Seeger Bhaskar Dutt K. Venkateswar 25 69 0 15 Dec 2020
Efficient Automatic CASH via Rising Bandits Yang Li Jiawei Jiang Jinyang Gao Yingxia Shao Ce Zhang Bin Cui 21 34 0 08 Dec 2020
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation Alexander I. Cowen-Rivers Wenlong Lyu Rasul Tutunov Zhi Wang Antoine Grosnit ... A. Maraval Hao Jianye Jun Wang Jan Peters H. Ammar 27 74 0 07 Dec 2020
TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling Pedro Mendes Maria Casimiro Paolo Romano David Garlan 11 18 0 09 Nov 2020
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning Simon Ging Mohammadreza Zolfaghari Hamed Pirsiavash Thomas Brox ViT CLIP 20 168 0 01 Nov 2020
Resource-Aware Pareto-Optimal Automated Machine Learning Platform Yao Yang Andrew Nam M. Nasr-Azadani Teresa Tung 16 6 0 30 Oct 2020
$μ$ NAS: Constrained Neural Architecture Search for Microcontrollers Edgar Liberis L. Dudziak Nicholas D. Lane BDL 15 103 0 27 Oct 2020
Hyperparameter Transfer Across Developer Adjustments Daniel Stoll Jörg Franke Diane Wagner Simon Selg Frank Hutter 27 12 0 25 Oct 2020
Neural Architecture Performance Prediction Using Graph Neural Networks Jovita Lukasik David Friede Heiner Stuckenschmidt M. Keuper GNN AI4CE 46 10 0 19 Oct 2020
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone Yexu Zhou Yuting Gao Yiran Huang Michael Hefenbrock T. Riedel Michael Beigl AI4TS 23 17 0 10 Aug 2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice Li Yang Abdallah Shami AI4CE 15 2,032 0 30 Jul 2020
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization Yimin Huang Yujun Li Hanrong Ye Zhenguo Li Zhihua Zhang 27 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
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
Bayesian Optimization with a Prior for the Optimum Artur L. F. Souza Luigi Nardi Leonardo B. Oliveira K. Olukotun Marius Lindauer Frank Hutter 21 8 0 25 Jun 2020
Cyclic Differentiable Architecture Search Hongyuan Yu Houwen Peng Yan Huang Jianlong Fu Hao Du Liang Wang Haibin Ling 3DPC 25 48 0 18 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