Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Bayesian Optimization by Kernel Regression and Density-based Exploration Tansheng Zhu Hongyu Zhou Ke Jin Xusheng Xu Qiufan Yuan Lijie Ji 179 0 0 10 Feb 2025
Adaptive Learning-based Model Predictive Control Strategy for Drift Vehicles Bei Zhou Cheng Hu Jun Zeng Zhouheng Li Johannes Betz Lei Xie Hongye Su 48 2 0 07 Feb 2025
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization Natalie Maus Kyurae Kim Yimeng Zeng Haydn Thomas Jones Fangping Wan Marcelo Der Torossian Torres Cesar de la Fuente-Nunez Jacob R. Gardner 85 0 0 31 Jan 2025
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning Nikolaos Kaparinos Vasileios Mezaris CVBM 55 0 0 28 Jan 2025
Optimization Landscapes Learned: Proxy Networks Boost Convergence in Physics-based Inverse Problems Girnar Goyal Philipp Holl Sweta Agrawal Nils Thuerey AI4CE 48 0 0 27 Jan 2025
Co-Learning Bayesian Optimization Zhendong Guo Yew-Soon Ong Tiantian He Haitao Liu 99 2 0 23 Jan 2025
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We? Taiming Wang Yuxia Zhang Lin Jiang Yi Tang Guangjie Li Hui Liu 88 1 0 22 Jan 2025
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Amirmohammad Farzaneh Osvaldo Simeone 86 0 0 22 Jan 2025
Information-theoretic Bayesian Optimization: Survey and Tutorial Eduardo C. Garrido-Merchán 67 0 0 22 Jan 2025
DeepEyeNet: Adaptive Genetic Bayesian Algorithm Based Hybrid ConvNeXtTiny Framework For Multi-Feature Glaucoma Eye Diagnosis Angshuman Roy Anuvab Sen Soumyajit Gupta Soham Haldar Subhrajit Deb Taraka Nithin Vankala Arkapravo Das 36 0 0 19 Jan 2025
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index Qian Xie Raul Astudillo P. Frazier Ziv Scully Alexander Terenin 92 2 0 17 Jan 2025
Unexpected Improvements to Expected Improvement for Bayesian Optimization Sebastian Ament Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 59 70 0 08 Jan 2025
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes Yunyue Wei Vincent Zhuang Saraswati Soedarmadji Yanan Sui 176 0 0 31 Dec 2024
BEACON: A Bayesian Optimization Strategy for Novelty Search in Expensive Black-Box Systems Wei-Ting Tang Ankush Chakrabarty J. Paulson 76 0 0 31 Dec 2024
High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces Quoc-Anh Hoang Nguyen The Hung Tran 90 1 0 21 Dec 2024
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs Vu Viet Hoang Quoc Anh Hoang Nguyen Hung Tran The 84 0 0 20 Dec 2024
Uncertainty separation via ensemble quantile regression Navid Ansari Hans-Peter Seidel Vahid Babaei UD UQCV 84 0 0 18 Dec 2024
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks Dario Serez Marco Cristani Alessio Del Bue Vittorio Murino Pietro Morerio AAML 91 0 0 04 Dec 2024
Rashomon effect in Educational Research: Why More is Better Than One for Measuring the Importance of the Variables? Jakub Kuzilek Mustafa Çavuş 74 1 0 02 Dec 2024
LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization Xinzheng Wu Junyi Chen Xingyu Xing Jian Sun Ye Tian Lihao Liu Yong Shen 76 0 0 30 Nov 2024
Co-Learning: Towards Semi-Supervised Object Detection with Road-side Cameras Jicheng Yuan Anh Le-Tuan Ali Ganbarov M. Hauswirth Danh Le-Phuoc 85 0 0 28 Nov 2024
Randomized-Grid Search for Hyperparameter Tuning in Decision Tree Model to Improve Performance of Cardiovascular Disease Classification Abhay Kumar Pathak Mrityunjay Chaubey Manjari Gupta 76 0 0 27 Nov 2024
Alpha Entropy Search for New Information-based Bayesian Optimization Daniel Fernández-Sánchez Eduardo C. Garrido-Merchán Daniel Hernández-Lobato 72 1 0 25 Nov 2024
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks Sanchar Palit Biplab Banerjee S. Chaudhuri CLL 83 0 0 21 Nov 2024
Persistent Homology for Structural Characterization in Disordered Systems An Wang Li Zou 76 1 0 21 Nov 2024
Locomotion Mode Transitions: Tackling System- and User-Specific Variability in Lower-Limb Exoskeletons Andrea Dal Prete Zeynep Ozge Orhan Anastasia Bolotnikova Marta Gandolla A. Ijspeert Mohamed Bouri 79 0 0 19 Nov 2024
A Composite Fault Diagnosis Model for NPPs Based on Bayesian-EfficientNet Module Siwei Li Jiangwen Chen Hua Lin Wei Wang 67 0 0 13 Nov 2024
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning Chaeyun Jang Hyungi Lee Jungtaek Kim Juho Lee MoMe 53 0 0 11 Nov 2024
Alleviating Hyperparameter-Tuning Burden in SVM Classifiers for Pulmonary Nodules Diagnosis with Multi-Task Bayesian Optimization Wenhao Chi Haiping Liu Hongqiao Dong W. Liang Bo Liu 26 0 0 09 Nov 2024
Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle Accelerators Kishansingh Rajput Malachi Schram Auralee Edelen Jonathan Colen Armen Kasparian Ryan Roussel Adam Carpenter He Zhang Jay Benesch 38 1 0 07 Nov 2024
Theoretically informed selection of latent activation in autoencoder based recommender systems Aviad Susman 16 0 0 06 Nov 2024
Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-Awareness Abdelmajid Essofi Ridwan Salahuddeen Munachiso Nwadike Elnura Zhalieva Kun Zhang Eric P. Xing W. Neiswanger Qirong Ho VLM 49 0 0 06 Nov 2024
Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapy Alif Bin Abdul Qayyum S. Mertins Amanda K. Paulson Nathan M. Urban Byung-Jun Yoon 39 0 0 05 Nov 2024
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization Mujin Cheon Jay H. Lee Dong-Yeun Koh Calvin Tsay 35 0 0 31 Oct 2024
Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal Andreas Krause Viacheslav Borovitskiy BDL 49 0 0 31 Oct 2024
Predicting the Encoding Error of SIRENs Jeremy Vonderfecht Feng Liu AI4CE 40 3 0 29 Oct 2024
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding Taiwo A. Adebiyi Bach Do Ruda Zhang 114 2 0 29 Oct 2024
Sequential Large Language Model-Based Hyper-parameter Optimization Kanan Mahammadli Seyda Ertekin 45 5 0 27 Oct 2024
AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design Francisco Erivaldo Fernandes Junior Antti Oulasvirta 155 0 0 25 Oct 2024
Privacy-Computation trade-offs in Private Repetition and Metaselection Kunal Talwar FedML 20 0 0 22 Oct 2024
Improving Parallel Program Performance with LLM Optimizers via Agent-System Interface Anjiang Wei Allen Nie Diyi Yang Rohan Yadav Wonchan Lee Alex Aiken Alex Aiken 28 0 0 21 Oct 2024
Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting Tugrul Cabir Hakyemez Omer Adar 25 0 0 19 Oct 2024
Wave (from) Polarized Light Learning (WPLL) method: high resolution spatio-temporal measurements of water surface waves in laboratory setups Noam Ginio Michael Lindenbaum Barak Fishbain Dan Liberzon 18 1 0 19 Oct 2024
Efficient Parameter Tuning for a Structure-Based Virtual Screening HPC Application Bruno Guindani Davide Gadioli Roberto Rocco Danilo Ardagna G. Palermo 28 0 0 18 Oct 2024
Ornstein-Uhlenbeck Adaptation as a Mechanism for Learning in Brains and Machines Jesus Garcia Fernandez Nasir Ahmad Marcel van Gerven 29 1 0 17 Oct 2024
Cliqueformer: Model-Based Optimization with Structured Transformers J. Kuba Pieter Abbeel Sergey Levine OffRL AI4CE 62 2 0 17 Oct 2024
Ranking over Regression for Bayesian Optimization and Molecule Selection Gary Tom Stanley Lo Samantha Corapi Alán Aspuru-Guzik Benjamín Sánchez-Lengeling BDL 43 0 0 11 Oct 2024
Efficient Hyperparameter Importance Assessment for CNNs Ruinan Wang Ian Nabney Mohammad Golbabaee 24 1 0 11 Oct 2024
Batched Energy-Entropy acquisition for Bayesian Optimization Felix Teufel Carsten Stahlhut J. Ferkinghoff-Borg 35 0 0 11 Oct 2024
A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments Nikhil Bangad Vivekananda Jayaram Manjunatha Sughaturu Krishnappa Amey Ram Banarse Darshan Mohan Bidkar Akshay Nagpal Vidyasagar Parlapalli 29 0 0 11 Oct 2024