Non-stochastic Best Arm Identification and Hyperparameter Optimization

27 February 2015

Papers citing "Non-stochastic Best Arm Identification and Hyperparameter Optimization"

50 / 241 papers shown

Title
Interim Report on Human-Guided Adaptive Hyperparameter Optimization with Multi-Fidelity Sprints Michael Kamfonas 21 0 0 14 May 2025
CAPO: Cost-Aware Prompt Optimization Tom Zehle Moritz Schlager Timo Heiß Matthias Feurer VLM 61 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
AutoPDL: Automatic Prompt Optimization for LLM Agents Claudio Spiess Mandana Vaziri Louis Mandel Martin Hirzel 23 0 0 06 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 62 0 0 06 Mar 2025
Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks Li Yang Shimaa A. Naser Abdallah Shami Sami Muhaidat Lyndon Ong Merouane Debbah 60 1 0 28 Feb 2025
Neural Attention Search Difan Deng Marius Lindauer 93 0 0 21 Feb 2025
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Amirmohammad Farzaneh Osvaldo Simeone 88 0 0 22 Jan 2025
Alleviating Overfitting in Transformation-Interaction-Rational Symbolic Regression with Multi-Objective Optimization Fabricio Olivetti de Franca 60 3 0 03 Jan 2025
HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach Abrar Hossain Abdel-Hameed A. Badawy M. A. Islam Tapasya Patki Kishwar Ahmed 34 0 0 03 Jan 2025
Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms Parham Rezaei Farzan Farnia Cheuk Ting Li 47 1 0 23 Dec 2024
Task-Driven Co-Design of Mobile Manipulators Raphael Schneider Daniel Honerkamp Tim Welschehold Abhinav Valada 110 1 0 21 Dec 2024
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach Henrique Donâncio Antoine Barrier Leah F. South Florence Forbes 28 0 0 16 Oct 2024
Utilizing Lyapunov Exponents in designing deep neural networks Tirthankar Mittra 14 0 0 08 Oct 2024
Learning Rate Optimization for Deep Neural Networks Using Lipschitz Bandits Padma Priyanka Sheetal Kalyani Avhishek Chatterjee 33 0 0 15 Sep 2024
FastBO: Fast HPO and NAS with Adaptive Fidelity Identification Jiantong Jiang Ajmal Mian 32 0 0 01 Sep 2024
Safety Enhancement in Planetary Rovers: Early Detection of Tip-over Risks Using Autoencoders Mariela De Lucas Alvarez 22 1 0 10 Aug 2024
UCB Exploration for Fixed-Budget Bayesian Best Arm Identification Rong J.B. Zhu Yanqi Qiu 31 0 0 09 Aug 2024
Improving Hyperparameter Optimization with Checkpointed Model Weights Nikhil Mehta Jonathan Lorraine Steve Masson Ramanathan Arunachalam Zaid Pervaiz Bhat James Lucas Arun George Zachariah 53 4 0 26 Jun 2024
Automated Privacy-Preserving Techniques via Meta-Learning Tânia Carvalho Nuno Moniz Luís Antunes 59 0 0 24 Jun 2024
Beyond Trend Following: Deep Learning for Market Trend Prediction Fernando Berzal Alberto Garcia 50 0 0 10 Jun 2024
Optimal Multi-Fidelity Best-Arm Identification Riccardo Poiani Rémy Degenne Emilie Kaufmann Alberto Maria Metelli Marcello Restelli 23 1 0 05 Jun 2024
A Batch Sequential Halving Algorithm without Performance Degradation Sotetsu Koyamada Soichiro Nishimori Shin Ishii 28 0 0 01 Jun 2024
Utilitarian Algorithm Configuration for Infinite Parameter Spaces Devon R. Graham Kevin Leyton-Brown 30 0 0 28 May 2024
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization Thomas Nagler Lennart Schneider B. Bischl Matthias Feurer 45 2 0 24 May 2024
Don't Waste Your Time: Early Stopping Cross-Validation Eddie Bergman Lennart Purucker Frank Hutter 24 6 0 06 May 2024
Structural Pruning of Pre-trained Language Models via Neural Architecture Search Aaron Klein Jacek Golebiowski Xingchen Ma Valerio Perrone Cédric Archambeau 35 2 0 03 May 2024
Data Augmentation Policy Search for Long-Term Forecasting Liran Nochumsohn Omri Azencot AI4TS TPM 46 3 0 01 May 2024
The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization Romain Egele Felix Mohr Tom Viering Prasanna Balaprakash 26 6 0 05 Apr 2024
Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks Leona Hennig Tanja Tornede Marius Lindauer AI4CE 30 3 0 02 Apr 2024
A Two-Phase Recall-and-Select Framework for Fast Model Selection Jianwei Cui Wenhang Shi Honglin Tao Wei Lu Xiaoyong Du 44 0 0 28 Mar 2024
Anytime Neural Architecture Search on Tabular Data Naili Xing Shaofeng Cai Zhaojing Luo Bengchin Ooi Jian Pei 34 1 0 15 Mar 2024
Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks Shuhei Watanabe Neeratyoy Mallik Eddie Bergman Frank Hutter 35 0 0 04 Mar 2024
Principled Architecture-aware Scaling of Hyperparameters Wuyang Chen Junru Wu Zhangyang Wang Boris Hanin AI4CE 49 0 0 27 Feb 2024
FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimization Yang Zhang Haiyang Wu Yuekui Yang 43 0 0 21 Feb 2024
Fixed Confidence Best Arm Identification in the Bayesian Setting Kyoungseok Jang Junpei Komiyama Kazutoshi Yamazaki 11 0 0 16 Feb 2024
Multi-Fidelity Methods for Optimization: A Survey Ke Li Fan Li AI4CE 35 6 0 15 Feb 2024
Parameter Optimization with Conscious Allocation (POCA) Joshua Inman Tanmay Khandait Giulia Pedrielli Lalitha Sankar 19 1 0 29 Dec 2023
Using Large Language Models for Hyperparameter Optimization Michael Ruogu Zhang Nishkrit Desai Juhan Bae Jonathan Lorraine Jimmy Ba 34 51 0 07 Dec 2023
$Optimizing $CO_{2}$ Capture in Pressure Swing Adsorption Units: A Deep Neural Network Approach with Optimality Evaluation and Operating Maps for Decision-Making$ Optimizing $CO_{2}$ Capture in Pressure Swing Adsorption Units: A Deep Neural Network Approach with Optimality Evaluation and Operating Maps for Decision-Making C. Rebello Idelfonso B. R. Nogueira 18 0 0 06 Dec 2023
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale Wei Wen Kuang-Hung Liu Igor Fedorov Xin Zhang Hang Yin ... Fangqiu Han Jiyan Yang Yuchen Hao Liang Xiong Wen-Yen Chen 44 2 0 14 Nov 2023
Impact of HPO on AutoML Forecasting Ensembles David Hoffmann 20 0 0 07 Nov 2023
ASP: Automatic Selection of Proxy dataset for efficient AutoML Peng Yao Chao Liao Jiyuan Jia Jianchao Tan Bin Chen Chengru Song Di Zhang 19 2 0 17 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 24 14 0 08 Oct 2023
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data Danrui Qi Jinglin Peng Yongjun He Jiannan Wang TPM 41 3 0 04 Oct 2023
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence Achraf Azize Marc Jourdan Aymen Al Marjani D. Basu 42 3 0 05 Sep 2023
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning Weirui Kuang Bingchen Qian Zitao Li Daoyuan Chen Dawei Gao Xuchen Pan Yuexiang Xie Yaliang Li Bolin Ding Jingren Zhou FedML 24 113 0 01 Sep 2023
A General Recipe for Automated Machine Learning in Practice H. Vázquez 11 3 0 29 Aug 2023
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? Romain Egele Isabelle M Guyon Yixuan Sun Prasanna Balaprakash 32 2 0 28 Jul 2023
Meta-Learning Adversarial Bandit Algorithms M. Khodak Ilya Osadchiy Keegan Harris Maria-Florina Balcan Kfir Y. Levy Ron Meir Zhiwei Steven Wu FedML 28 2 0 05 Jul 2023