BOHB: Robust and Efficient Hyperparameter Optimization at Scale

4 July 2018

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

50 / 183 papers shown

Title
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks J. Gornet Yiannis Kantaros Bruno Sinopoli 149 0 0 27 Apr 2025
Evolution Meets Diffusion: Efficient Neural Architecture Generation Bingye Zhou Caiyang Yu DiffM 51 0 0 24 Apr 2025
CAPO: Cost-Aware Prompt Optimization Tom Zehle Moritz Schlager Timo Heiß Matthias Feurer VLM 59 0 0 22 Apr 2025
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization Timur Carstensen Neeratyoy Mallik Frank Hutter Martin Rapp AI4CE 30 0 0 14 Apr 2025
A Balanced Approach of Rapid Genetic Exploration and Surrogate Exploitation for Hyperparameter Optimization Chul Kim Inwhee Joe 23 2 0 10 Apr 2025
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning? Roman Kochnev Arash Torabi Goodarzi Zofia Antonina Bentyn D. Ignatov Radu Timofte 58 2 0 08 Apr 2025
Training neural networks faster with minimal tuning using pre-computed lists of hyperparameters for NAdamW Sourabh Medapati Priya Kasimbeg Shankar Krishnan Naman Agarwal George E. Dahl 59 0 0 06 Mar 2025
AIDE: AI-Driven Exploration in the Space of Code Zhengyao Jiang Dominik Schmidt Dhruv Srikanth Dixing Xu Ian Kaplan Deniss Jacenko Yuxiang Wu 69 5 0 18 Feb 2025
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Amirmohammad Farzaneh Osvaldo Simeone 86 0 0 22 Jan 2025
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data Adam Wang Son Nguyen A. Montillo FedML 41 0 0 31 Dec 2024
Task-Driven Co-Design of Mobile Manipulators Raphael Schneider Daniel Honerkamp Tim Welschehold Abhinav Valada 106 1 0 21 Dec 2024
MetaphorShare: A Dynamic Collaborative Repository of Open Metaphor Datasets Joanne Boisson Arif Mehmood Jose Camacho-Collados 69 0 0 27 Nov 2024
Demystifying Issues, Causes and Solutions in LLM Open-Source Projects Yangxiao Cai Peng Liang Yifei Wang Zengyang Li Mojtaba Shahin 45 2 0 25 Sep 2024
Learning Rate Optimization for Deep Neural Networks Using Lipschitz Bandits Padma Priyanka Sheetal Kalyani Avhishek Chatterjee 25 0 0 15 Sep 2024
Trajectory-Based Multi-Objective Hyperparameter Optimization for Model Retraining Wenyu Wang Zheyi Fan Szu Hui Ng 33 0 0 24 May 2024
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization S. Reifenstein T. Leleu Yoshihisa Yamamoto 48 1 0 02 May 2024
Data Augmentation Policy Search for Long-Term Forecasting Liran Nochumsohn Omri Azencot AI4TS TPM 46 3 0 01 May 2024
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Herilalaina Rakotoarison Steven Adriaensen Neeratyoy Mallik Samir Garibov Eddie Bergman Frank Hutter AI4CE 40 9 0 25 Apr 2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 53 4 0 12 Apr 2024
Anytime Neural Architecture Search on Tabular Data Naili Xing Shaofeng Cai Zhaojing Luo Bengchin Ooi Jian Pei 34 1 0 15 Mar 2024
Robustifying and Boosting Training-Free Neural Architecture Search Zhenfeng He Yao Shu Zhongxiang Dai K. H. Low 43 1 0 12 Mar 2024
Parallel Hyperparameter Optimization Of Spiking Neural Network Thomas Firmin Pierre Boulet El-Ghazali Talbi 30 3 0 01 Mar 2024
CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration Daniele Cattaneo Abhinav Valada 32 6 0 31 Jan 2024
Model Performance Prediction for Hyperparameter Optimization of Deep Learning Models Using High Performance Computing and Quantum Annealing Juan Pablo García Amboage Eric Wulff M. Girone Tomás F. Pena 23 2 0 29 Nov 2023
A systematic study comparing hyperparameter optimization engines on tabular data Balazs Kegl 23 1 0 27 Nov 2023
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Steven Adriaensen Herilalaina Rakotoarison Samuel G. Müller Frank Hutter BDL 31 19 0 31 Oct 2023
Context-Aware Prediction of User Engagement on Online Social Platforms Heinrich Peters Yozen Liu Francesco Barbieri Raiyan Abdul Baten S. C. Matz Maarten W. Bos 31 2 0 23 Oct 2023
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems Younghyun Cho James Demmel Michal Derezinski Haoyun Li Hengrui Luo Michael W. Mahoney Riley Murray 35 5 0 30 Aug 2023
Generalized Early Stopping in Evolutionary Direct Policy Search Etor Arza Léni K. Le Goff E. Hart OffRL 26 3 0 07 Aug 2023
A Parameter-efficient Multi-subject Model for Predicting fMRI Activity Connor Lane Gregory Kiar 22 2 0 04 Aug 2023
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search A. Chebykin A. Dushatskiy Tanja Alderliesten Peter A. N. Bosman 42 0 0 28 Jul 2023
Big Data - Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques Md Abrar Jahin Md Sakib Hossain Shovon Jungpil Shin Istiyaque Ahmed Ridoy M. F. Mridha AI4TS 8 13 0 24 Jul 2023
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees Aleksei G. Sorokin Xinran Zhu E. Lee Bolong Cheng 30 2 0 10 Jul 2023
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How Sebastian Pineda Arango Fabio Ferreira Arlind Kadra Frank Hutter Frank Hutter Josif Grabocka 34 15 0 06 Jun 2023
Bilevel Fast Scene Adaptation for Low-Light Image Enhancement Long Ma Dian Jin Nan An Jinyuan Liu Xin-Yue Fan Risheng Liu 33 48 0 02 Jun 2023
ALT: An Automatic System for Long Tail Scenario Modeling Ya-Lin Zhang Jun Zhou Yankun Ren Yue Zhang Xinxing Yang Meng Li Qitao Shi Longfei Li 25 0 0 19 May 2023
OpenBox: A Python Toolkit for Generalized Black-box Optimization Huaijun Jiang Yu Shen Yang Li Beicheng Xu Sixian Du Wentao Zhang Ce Zhang Bin Cui 38 4 0 26 Apr 2023
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services Hui Dou Shanshan Zhu Yiwen Zhang Pengfei Chen Zibin Zheng 9 0 0 20 Apr 2023
HPN: Personalized Federated Hyperparameter Optimization Anda Cheng Zhen Wang Yaliang Li Jianwei Cheng 29 1 0 11 Apr 2023
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents Malte Lehna J. Viebahn Christoph Scholz Antoine Marot Sven Tomforde 26 19 0 03 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
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 18 4 0 02 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
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 39 29 0 12 Feb 2023
A Bayesian Optimization approach for calibrating large-scale activity-based transport models S. Agriesti Vladimir Kuzmanovski Jaakko Hollmén C. Roncoli Bat-hen Nahmias-Biran 29 5 0 07 Feb 2023
Iterative Deepening Hyperband Jasmin Brandt Marcel Wever Dimitrios Iliadis Viktor Bengs Eyke Hüllermeier 11 1 0 01 Feb 2023
OpenMP Advisor Alok Mishra A. Malik Meifeng Lin Barbara M. Chapman 14 1 0 09 Jan 2023
Renormalization in the neural network-quantum field theory correspondence Harold Erbin Vincent Lahoche D. O. Samary 39 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 31 8 0 13 Dec 2022
Characterizing 4-string contact interaction using machine learning Harold Erbin Atakan Hilmi Fırat 35 15 0 16 Nov 2022