BOHB: Robust and Efficient Hyperparameter Optimization at Scale

4 July 2018

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

50 / 207 papers shown

Title
Scaling Laws for Hyperparameter Optimization Arlind Kadra Maciej Janowski Martin Wistuba Josif Grabocka 33 9 0 01 Feb 2023
OpenMP Advisor Alok Mishra A. Malik Meifeng Lin Barbara M. Chapman 22 1 0 09 Jan 2023
Renormalization in the neural network-quantum field theory correspondence Harold Erbin Vincent Lahoche D. O. Samary 47 7 0 22 Dec 2022
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator Shuhei Watanabe Noor H. Awad Masaki Onishi Frank Hutter 33 9 0 13 Dec 2022
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems Qiaoyun Huang R. D. Winter Bas van Stein Thomas Bäck Anna V. Kononova 24 2 0 13 Dec 2022
Characterizing 4-string contact interaction using machine learning Harold Erbin Atakan Hilmi Fırat 40 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 77 4 0 11 Nov 2022
Hyperparameter optimization in deep multi-target prediction Dimitrios Iliadis Marcel Wever B. De Baets Willem Waegeman 35 1 0 08 Nov 2022
Speeding up NAS with Adaptive Subset Selection Vishak Prasad Colin White P. Jain Sibasis Nayak Ganesh Ramakrishnan BDL 28 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 44 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 24 0 0 23 Sep 2022
Batch Bayesian optimisation via density-ratio estimation with guarantees Rafael Oliveira Louis C. Tiao Fabio Ramos 47 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 70 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 34 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 45 3 0 30 Jul 2022
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings Adrian Kochsiek Fritz Niesel Rainer Gemulla 25 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 27 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 35 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 33 7 0 25 Jun 2022
Prediction of Football Player Value using Bayesian Ensemble Approach Hansoo Lee Bayu Adhi Tama M. Cha 19 6 0 24 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses Chawin Sitawarin Zachary Golan-Strieb David Wagner AAML 22 20 0 18 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 28 57 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 41 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 34 37 0 27 May 2022
ARLO: A Framework for Automated Reinforcement Learning Marco Mussi Davide Lombarda Alberto Maria Metelli F. Trovò Marcello Restelli OffRL 41 4 0 20 May 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 56 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 50 145 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 37 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 28 6 0 04 Apr 2022
Towards Less Constrained Macro-Neural Architecture Search Vasco Lopes L. A. Alexandre 46 5 0 10 Mar 2022
Hyperparameter optimization of data-driven AI models on HPC systems Eric Wulff M. Girone J. Pata 27 7 0 02 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 51 24 0 01 Mar 2022
DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models A. Treacher A. Montillo 29 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 40 17 0 15 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath Alexandru Paul 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 40 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 45 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 19 1 0 01 Feb 2022
Self Semi Supervised Neural Architecture Search for Semantic Segmentation Loïc Pauletto Massih-Reza Amini Nicolas Winckler SSL SSeg 40 1 0 29 Jan 2022
Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization Mohamed Tarek Yijiang Huang 29 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 35 100 0 11 Jan 2022