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
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems Qiaoyun Huang R. D. Winter Bas van Stein Thomas Bäck Anna V. Kononova 14 2 0 13 Dec 2022
Characterizing 4-string contact interaction using machine learning Harold Erbin Atakan Hilmi Fırat 35 15 0 16 Nov 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Xuan Rao Bo Zhao Xiaosong Yi 74 4 0 11 Nov 2022
Hyperparameter optimization in deep multi-target prediction Dimitrios Iliadis Marcel Wever B. De Baets Willem Waegeman 21 1 0 08 Nov 2022
Speeding up NAS with Adaptive Subset Selection Vishak Prasad Colin White P. Jain Sibasis Nayak Ganesh Ramakrishnan BDL 21 5 0 02 Nov 2022
PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework Liuchun Yuan Zehao Huang Naiyan Wang 29 0 0 26 Oct 2022
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning HyunJae Lee Gihyeon Lee Junh-Nam Kim Sungjun Cho Dohyun Kim Donggeun Yoo 39 3 0 26 Sep 2022
Tiered Pruning for Efficient Differentialble Inference-Aware Neural Architecture Search Slawomir Kierat Mateusz Sieniawski Denys Fridman Chendi Yu Szymon Migacz Pawel M. Morkisz A. Fit-Florea 3DPC 19 0 0 23 Sep 2022
Batch Bayesian optimisation via density-ratio estimation with guarantees Rafael Oliveira Louis C. Tiao Fabio Ramos 42 7 0 22 Sep 2022
T3VIP: Transformation-based 3D Video Prediction Iman Nematollahi Erick Rosete-Beas Seyed Mahdi B. Azad Raghunandan Rajan Frank Hutter Wolfram Burgard VGen 65 1 0 19 Sep 2022
A Survey of Open Source Automation Tools for Data Science Predictions Nicholas Hoell 30 0 0 24 Aug 2022
Hyperparameter Optimization for Unsupervised Outlier Detection Yue Zhao Leman Akoglu 32 1 0 24 Aug 2022
Tackling Neural Architecture Search With Quality Diversity Optimization Lennart Schneider Florian Pfisterer P. Kent Juergen Branke B. Bischl Janek Thomas AI4CE 35 3 0 30 Jul 2022
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings Adrian Kochsiek Fritz Niesel Rainer Gemulla 23 3 0 11 Jul 2022
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism Xiangning Xie Yuqiao Liu Yanan Sun Mengjie Zhang Kay Chen Tan GNN AI4CE 25 2 0 03 Jul 2022
Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario D. L. Manna Alex Vicente-Sola Paul Kirkland Trevor Bihl G. D. Caterina 30 21 0 28 Jun 2022
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach Syrine Belakaria J. Doppa Nicolò Fusi Rishit Sheth 30 7 0 25 Jun 2022
Prediction of Football Player Value using Bayesian Ensemble Approach Hansoo Lee Bayu Adhi Tama M. Cha 14 6 0 24 Jun 2022
Augmented Imagefication: A Data-driven Fault Detection Method for Aircraft Air Data Sensors Hang Zhao Jinyi Ma Zhongzhi Li Yiqun Dong J. Ai 24 0 0 18 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 56 0 15 Jun 2022
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization Zhen Wang Weirui Kuang Ce Zhang Bolin Ding Yaliang Li FedML 31 13 0 08 Jun 2022
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning Yang Li Yu Shen Huaijun Jiang Wentao Zhang Zhi-Xin Yang Ce Zhang Bin Cui 36 15 0 06 Jun 2022
Transfer Learning based Search Space Design for Hyperparameter Tuning Yang Li Yu Shen Huaijun Jiang Tianyi Bai Wentao Zhang Ce Zhang Bin Cui 38 13 0 06 Jun 2022
Automated Dynamic Algorithm Configuration Steven Adriaensen André Biedenkapp Gresa Shala Noor H. Awad Theresa Eimer Marius Lindauer Frank Hutter 32 36 0 27 May 2022
ARLO: A Framework for Automated Reinforcement Learning Marco Mussi Davide Lombarda Alberto Maria Metelli F. Trovò Marcello Restelli OffRL 31 4 0 20 May 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 41 16 0 11 May 2022
Automatic Machine Learning for Multi-Receiver CNN Technology Classifiers A. Y. Abyaneh Marwan Krunz 21 1 0 28 Apr 2022
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search Yameng Peng A. Song V. Ciesielski Haytham M. Fayek Xiaojun Chang 29 14 0 27 Apr 2022
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models Chunyuan Li Haotian Liu Liunian Harold Li Pengchuan Zhang J. Aneja ... Ping Jin Houdong Hu Zicheng Liu Yong Jae Lee Jianfeng Gao 32 145 0 19 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 21 88 0 11 Apr 2022
Transformer-Based Self-Supervised Learning for Emotion Recognition Juan Vazquez-Rodriguez G. Lefebvre Julien Cumin James L. Crowley 23 25 0 08 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 26 6 0 04 Apr 2022
Towards Less Constrained Macro-Neural Architecture Search Vasco Lopes L. A. Alexandre 33 5 0 10 Mar 2022
Machine Learning for Particle Flow Reconstruction at CMS J. Pata Javier Mauricio Duarte Farouk Mokhtar Eric Wulff J. Yoo J. Vlimant M. Pierini M. Girone 39 24 0 01 Mar 2022
DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models A. Treacher A. Montillo 21 0 0 24 Feb 2022
Neural Architecture Search for Dense Prediction Tasks in Computer Vision T. Elsken Arber Zela J. H. Metzen B. Staffler Thomas Brox Abhinav Valada Frank Hutter OOD 36 17 0 15 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath A. P. Condurache 25 8 0 08 Feb 2022
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search Hyunghun Cho Jungwook Shin Wonjong Rhee 33 7 0 07 Feb 2022
LEAPMood: Light and Efficient Architecture to Predict Mood with Genetic Algorithm driven Hyperparameter Tuning Harichandana B S S Sumit Kumar 40 5 0 05 Feb 2022
Combined Pruning for Nested Cross-Validation to Accelerate Automated Hyperparameter Optimization for Embedded Feature Selection in High-Dimensional Data with Very Small Sample Sizes Sigrun May Sven Hartmann F. Klawonn 9 1 0 01 Feb 2022
Self Semi Supervised Neural Architecture Search for Semantic Segmentation Loïc Pauletto Massih-Reza Amini Nicolas Winckler SSL SSeg 35 1 0 29 Jan 2022
Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization Mohamed Tarek Yijiang Huang 19 2 0 28 Jan 2022
Hyperparameter Tuning for Deep Reinforcement Learning Applications M. Kiran Melis Ozyildirim 40 22 0 26 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019 Zhengying Liu Adrien Pavao Zhen Xu Sergio Escalera Fabio Ferreira ... Peng Wang Chenglin Wu Youcheng Xiong Arber Zela Yang Zhang AAML 37 26 0 11 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
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
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka Tim Welschehold Joschka Boedecker Wolfram Burgard OffRL 30 9 0 24 Nov 2021
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning A. Hernández I. Nieuwenhuyse Sebastian Rojas Gonzalez 23 95 0 23 Nov 2021
Optimizing Bayesian acquisition functions in Gaussian Processes Ashish Anil Pawar Ujwal Warbhe GP 11 4 0 09 Nov 2021