Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

21 March 2016

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

50 / 262 papers shown

Title
HPN: Personalized Federated Hyperparameter Optimization Anda Cheng Zhen Wang Yaliang Li Jianwei Cheng 32 1 0 11 Apr 2023
Hyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC Eric Wulff M. Girone D. Southwick Juan Pablo García Amboage Eduard Cuba 24 1 0 27 Mar 2023
Conditional Image-to-Video Generation with Latent Flow Diffusion Models Haomiao Ni Changhao Shi Kaican Li Sharon X. Huang Martin Renqiang Min VGen DiffM 30 165 0 24 Mar 2023
Paramater Optimization for Manipulator Motion Planning using a Novel Benchmark Set Carl Gäbert Sascha Kaden B. Fischer Ulrike Thomas 13 1 0 28 Feb 2023
Symbolic Discovery of Optimization Algorithms Xiangning Chen Chen Liang Da Huang Esteban Real Kaiyuan Wang ... Xuanyi Dong Thang Luong Cho-Jui Hsieh Yifeng Lu Quoc V. Le 67 353 0 13 Feb 2023
$Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset$ Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset Sungduk Yu M. Pritchard Po-Lun Ma Balwinder Singh S. Silva 42 2 0 08 Feb 2023
V1T: large-scale mouse V1 response prediction using a Vision Transformer Bryan M. Li I. M. Cornacchia Nathalie L Rochefort A. Onken 26 8 0 06 Feb 2023
Iterative Deepening Hyperband Jasmin Brandt Marcel Wever Dimitrios Iliadis Viktor Bengs Eyke Hüllermeier 16 1 0 01 Feb 2023
(Private) Kernelized Bandits with Distributed Biased Feedback Fengjiao Li Xingyu Zhou Bo Ji 33 5 0 28 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 38 32 0 04 Jan 2023
Renormalization in the neural network-quantum field theory correspondence Harold Erbin Vincent Lahoche D. O. Samary 39 7 0 22 Dec 2022
Machine-learned climate model corrections from a global storm-resolving model Anna Kwa Spencer K. Clark Brian Henn Noah D. Brenowitz Jeremy McGibbon W. Perkins Oliver Watt‐Meyer L. Harris Christopher S. Bretherton AI4Cl 13 10 0 21 Nov 2022
Hyperparameter optimization in deep multi-target prediction Dimitrios Iliadis Marcel Wever B. De Baets Willem Waegeman 29 1 0 08 Nov 2022
Adaptive Data Depth via Multi-Armed Bandits Tavor Z. Baharav T. Lai 18 1 0 08 Nov 2022
Edge Impulse: An MLOps Platform for Tiny Machine Learning Shawn Hymel Colby R. Banbury Daniel Situnayake A. Elium Carl Ward ... Louis Moreau Dmitry Maslov A. Beavis Jan Jongboom Vijay Janapa Reddi VLM LRM 50 95 0 02 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
A Data-driven Case-based Reasoning in Bankruptcy Prediction Wei Li Wolfgang Karl Härdle Stefan Lessmann 6 3 0 02 Nov 2022
Using Supervised Deep-Learning to Model Edge-FBG Shape Sensors Samaneh Manavi Roodsari Antal Huck-Horváth Sara Freund A. Zam G. Rauter Wolfgang Schade Philippe C. Cattin 27 9 0 28 Oct 2022
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook Baihan Lin OffRL AI4TS 32 27 0 24 Oct 2022
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning F. Imrie B. Cebere E. McKinney M. Schaar 68 20 0 21 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 195 22 0 20 Oct 2022
BLOX: Macro Neural Architecture Search Benchmark and Algorithms Thomas C. P. Chau L. Dudziak Hongkai Wen Nicholas D. Lane Mohamed S. Abdelfattah 30 13 0 13 Oct 2022
polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics Christopher Kuenneth R. Ramprasad 34 101 0 29 Sep 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
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
Multi-objective hyperparameter optimization with performance uncertainty A. Hernández I. Nieuwenhuyse Gonzalo Nápoles 19 2 0 09 Sep 2022
A Robust Learning Methodology for Uncertainty-aware Scientific Machine Learning models Erbet Costa Almeida C. Rebello M. Fontana L. Schnitman Idelfonso B. R. Nogueira 26 9 0 05 Sep 2022
SONAR: Joint Architecture and System Optimization Search Elias Jääsaari Michelle Ma Ameet Talwalkar Tianqi Chen 36 1 0 25 Aug 2022
A Survey of Open Source Automation Tools for Data Science Predictions Nicholas Hoell 30 0 0 24 Aug 2022
Time-to-Green predictions for fully-actuated signal control systems with supervised learning Alexander Genser M. Makridis Kaidi Yang Lukas Ambühl M. Menéndez Anastasios Kouvelas 9 7 0 24 Aug 2022
How important are socioeconomic factors for hurricane performance of power systems? An analysis of disparities through machine learning Alexys Herleym Rodríguez Avellaneda A. Shafieezadeh Alper Yılmaz 14 6 0 18 Aug 2022
Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations Vincent Dumont X. Ju Juliane Mueller AI4CE 25 4 0 12 Aug 2022
Representation learning of rare temporal conditions for travel time prediction N. Petersen Filipe Rodrigues Francisco Câmara Pereira AI4TS 18 1 0 09 Aug 2022
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization Yi-Wei Chen Chi Wang A. Saied Rui Zhuang 19 2 0 04 Aug 2022
ACHO: Adaptive Conformal Hyperparameter Optimization Riccardo Doyle TPM 27 0 0 06 Jul 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
Vibration fault detection in wind turbines based on normal behaviour models without feature engineering S. Jonas D. Anagnostos B. Brodbeck Angela Meyer 19 10 0 24 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
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
Conformal Credal Self-Supervised Learning Julian Lienen Caglar Demir Eyke Hüllermeier 29 13 0 30 May 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
Leveraging Causal Inference for Explainable Automatic Program Repair Jianzong Wang Shijing Si Z. Zhu Xiaoyang Qu Zhenhou Hong Jing Xiao 27 3 0 26 May 2022
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization Antonio Candelieri Andrea Ponti Francesco Archetti 33 16 0 18 May 2022
Perspectives on Incorporating Expert Feedback into Model Updates Valerie Chen Umang Bhatt Hoda Heidari Adrian Weller Ameet Talwalkar 30 11 0 13 May 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 50 16 0 11 May 2022
Hybrid quantum ResNet for car classification and its hyperparameter optimization Asel Sagingalieva Mohammad Kordzanganeh Andrii Kurkin Artem Melnikov Daniil Kuhmistrov M. Perelshtein A. Melnikov Andrea Skolik David Von Dollen 58 36 0 10 May 2022
Automatic Machine Learning for Multi-Receiver CNN Technology Classifiers A. Y. Abyaneh Marwan Krunz 21 1 0 28 Apr 2022
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms Diederick Vermetten Hongya Wang Manuel López-Ibánez Carola Doerr Thomas Bäck 21 8 0 20 Apr 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning Zhen Wang Weirui Kuang Yuexiang Xie Liuyi Yao Yaliang Li Bolin Ding Jingren Zhou FedML 18 77 0 12 Apr 2022