Practical Bayesian Optimization of Machine Learning Algorithms

13 June 2012

Papers citing "Practical Bayesian Optimization of Machine Learning Algorithms"

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Title
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs Zhuo Yang Lingli Ge Dong Han Tianfan Fu Yuqiang Li 22 0 0 19 May 2025
Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Yuejiang Wen Paul D. Franzon BDL 17 0 0 16 May 2025
Interim Report on Human-Guided Adaptive Hyperparameter Optimization with Multi-Fidelity Sprints Michael Kamfonas 21 0 0 14 May 2025
Learning Dynamics in Continual Pre-Training for Large Language Models Xingjin Wang Howe Tissue Lu Wang Linjing Li D. Zeng CLL 34 0 0 12 May 2025
From raw affiliations to organization identifiers Myrto Kallipoliti Serafeim Chatzopoulos Miriam Baglioni Eleni Adamidi Paris Koloveas Thanasis Vergoulis 32 0 0 12 May 2025
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints Peter Röseler Oliver Schaudt Helmut Berg Christian Bauckhage Matthias Koch 34 0 0 09 May 2025
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning Amir Rezaei Balef Claire Vernade Katharina Eggensperger 38 0 0 08 May 2025
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Wenhao Li Bo Jin Mingyi Hong Changhong Lu Xiangfeng Wang 48 0 0 07 May 2025
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions Mickael Binois Jeffrey Larson 74 0 0 29 Apr 2025
FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization Hui Chen Xuhui Fan Zhangkai Wu Longbing Cao LLMAG 45 0 0 28 Apr 2025
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks J. Gornet Yiannis Kantaros Bruno Sinopoli 161 0 0 27 Apr 2025
Circinus: Efficient Query Planner for Compound ML Serving Banruo Liu Wei-Yu Lin Minghao Fang Yihan Jiang Fan Lai LRM 39 0 0 23 Apr 2025
Learning Explainable Dense Reward Shapes via Bayesian Optimization Ryan Koo Ian Yang Vipul Raheja Mingyi Hong Kwang-Sung Jun Dongyeop Kang 31 0 0 22 Apr 2025
VeLU: Variance-enhanced Learning Unit for Deep Neural Networks Ashkan Shakarami Yousef Yeganeh Azade Farshad Lorenzo Nicolè Stefano Ghidoni Nassir Navab 57 0 0 21 Apr 2025
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness Mojtaba Kolahdouzi Hatice Gunes Ali Etemad 33 0 0 21 Apr 2025
Evolution of Optimization Algorithms for Global Placement via Large Language Models Xufeng Yao Jiaxi Jiang Yuxuan Zhao Peiyu Liao Yibo Lin Bei Yu 68 0 0 18 Apr 2025
Risk-aware black-box portfolio construction using Bayesian optimization with adaptive weighted Lagrangian estimator Zinuo You John Cartlidge Karen Elliott Menghan Ge Daniel Gold 32 0 0 18 Apr 2025
Collaborative Bayesian Optimization via Wasserstein Barycenters Donglin Zhan Huan Zhang Rhonda Righter Zeyu Zheng James Anderson 34 0 0 15 Apr 2025
BO-SA-PINNs: Self-adaptive physics-informed neural networks based on Bayesian optimization for automatically designing PDE solvers Rui Zhang Liang Li Stéphane Lanteri Hao Kang Jiaqi Li 43 0 0 14 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
Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm Amir Ali Farzin Yuen-Man Pun Philipp Braun Antoine Lesage-Landry Youssef Diouane Iman Shames 53 1 0 10 Apr 2025
Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather P. Bommer M. Kretschmer Fiona R. Spuler Kirill Bykov Marina M.-C. Höhne AI4Cl 23 0 0 10 Apr 2025
Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum Learning Llewyn Salt Marcus Gallagher 33 0 0 09 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
An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization Moncef Garouani 28 0 0 08 Apr 2025
Towards Robust Offline Evaluation: A Causal and Information Theoretic Framework for Debiasing Ranking Systems Seyedeh Baharan Khatami Sayan Chakraborty Ruomeng Xu Babak Salimi CML OffRL 27 0 0 04 Apr 2025
Decentralized Collective World Model for Emergent Communication and Coordination Kentaro Nomura Tatsuya Aoki Tadahiro Taniguchi Takato Horii 72 0 0 04 Apr 2025
High Dimensional Bayesian Optimization using Lasso Variable Selection Vu Viet Hoang Hung The Tran Sunil R. Gupta Vu Nguyen 113 0 0 02 Apr 2025
Tokenization of Gaze Data Tim Rolff Jurik Karimian Niklas Hypki S. Schmidt Markus Lappe Frank Steinicke 41 0 0 28 Mar 2025
Confidence Adjusted Surprise Measure for Active Resourceful Trials (CA-SMART): A Data-driven Active Learning Framework for Accelerating Material Discovery under Resource Constraints Ahmed Shoyeb Raihan Zhichao Liu T. Bhuiyan I. Imtiaz Ahmed 46 0 0 27 Mar 2025
Maya: Optimizing Deep Learning Training Workloads using Emulated Virtual Accelerators Srihas Yarlagadda A. Agrawal Elton Pinto Hakesh Darapaneni Mitali Meratwal Shivam Mittal Pranavi Bajjuri Sahil Sethi Alexey Tumanov 83 0 0 26 Mar 2025
Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction James M. Shihua P. Saves Rhea P. Liem J. Morlier 46 0 0 25 Mar 2025
Evolutionary Policy Optimization Jianren Wang Yifan Su Abhinav Gupta Deepak Pathak 50 0 0 24 Mar 2025
A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games Shubhankar Agarwal Hamzah I. Khan Sandeep Chinchali David Fridovich-Keil 41 0 0 23 Mar 2025
Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring Khadija Zanna Akane Sano 48 0 0 21 Mar 2025
Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference Pavia Bera Sanjukta Bhanja UQCV BDL 90 0 0 18 Mar 2025
Fully Unsupervised Annotation of C. Elegans Christoph Karg Sebastian Stricker Lisa Hutschenreiter Bogdan Savchynskyy Dagmar Kainmueller 53 0 0 10 Mar 2025
Clustering-based Meta Bayesian Optimization with Theoretical Guarantee Khoa Nguyen Viet Huynh Binh Tran Tri Pham Tin Huynh T. Nguyen 43 0 0 08 Mar 2025
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization Toby Boyne Jose Pablo Folch Robert M. Lee B. Shafei Ruth Misener GP 64 0 0 07 Mar 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
Improving Oil Slick Trajectory Simulations with Bayesian Optimization Gabriele Accarino Marco M. De Carlo Igor Atake D. Elia Anusha L. Dissanayake ... Juan Peña Ibañez Italo Epicoco P. Nassisi S. Fiore Giovanni Coppini 70 0 0 04 Mar 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models Mingyu Pu Songhao Wang Haowei Wang Szu Hui Ng 47 0 0 04 Mar 2025
Measuring the Validity of Clustering Validation Datasets Hyeon Jeon Michaël Aupetit DongHwa Shin Aeri Cho Seokhyeon Park Jinwook Seo 40 0 0 03 Mar 2025
Identifying Emerging Concepts in Large Corpora Sibo Ma Julian Nyarko 40 0 0 28 Feb 2025
Tuning-Free Structured Sparse PCA via Deep Unfolding Networks Long Chen Xianchao Xiu 198 0 0 28 Feb 2025
Bayesian Optimization for Controlled Image Editing via LLMs Chengkun Cai Haoliang Liu Xu Zhao Zhongyu Jiang Tianfang Zhang Zongkai Wu Lei Li Lei Li Lei Li BDL OffRL 103 2 0 25 Feb 2025
IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Agents Eric Xue Zeyi Huang Yuyang Ji Haohan Wang 83 0 0 25 Feb 2025
TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting Young-Chae Hong Bei Xiao Yangho Chen AI4TS 69 0 0 25 Feb 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization Taeyoung Yun Kiyoung Om Jaewoo Lee Sujin Yun Jinkyoo Park 58 1 0 24 Feb 2025
NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance Raphael T. Husistein Markus Reiher Marco Eckhoff 142 1 0 20 Feb 2025