The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs by Qiyuan Chen (1570270)

“…<p>This article introduces a framework for Bayesian Optimization (BO) with metric movement costs, addressing a critical challenge in practical applications where input alterations incur varying costs. …”

Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets. by Cai Yuanqing (22513351)

Continuous Flow Chemistry and Bayesian Optimization for Polymer-Functionalized Carbon Nanotube-Based Chemiresistive Methane Sensors by John H. Dunlap (5954933)

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A directed acyclic graph of Bayesian network obtained through hill-climbing learning algorithm with threshold  by Jaeyeop Choi (12696498)

Optimal ovarian cancer BNs learned by CausNet and CausNet-partial. by Nand Sharma (21519845)

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Overtuning in Hyperparameter Optimization - Artifacts by Lennart Schneider (20131899)

Kβ X‑ray Emission Spectra Analysis Using Bayesian Optimization by Rishabh Ranjan (16488785)

“…We present a methodology that applies Bayesian optimization to crystal-field multiplet theory to determine parameter values. …”

Comparative analysis of computational efficiency across various hyperparameter optimization algorithms on the CSMAR and MorningStar datasets. by Cai Yuanqing (22513351)

Data size, algorithm, and cross validation metrics in case study 1. by Lillian Li (11337679)

Fractional Cross-Validation for Optimizing Hyperparameters of Supervised Learning Algorithms by Suraj Yerramilli (21510476)

“…In this work, we propose a highly-efficient Bayesian optimization algorithm for optimizing the hyperparameters of supervised learning algorithms with K-fold CV error as the evaluation criterion. …”

Using dynamic Bayesian optimization to induce desired effects in the presence of motor learning: a simulation study by GilHwan Kim (22772306)

“…<p>We sought to establish whether dynamic Bayesian optimization (DBO) is a suitable algorithm for human-in-the-loop-optimization (HILO) of the control input of devices interacting with individuals whose output changes during optimization as resulting from motor learning. …”

Data Sheet 1_Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems.pdf by Eric Yanchenko (3266514)

“…In this study, a Bayesian optimization (BO) algorithm was used to learn more about the optimal distribution of a fine-scale trap network targeting Helicoverpa zea (Boddie), a significant agricultural pest across North America. …”

Pareto optimal front result of MOCOA. by Hang Zhao (143592)

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Platform-of-1: A Bayesian Adaptive N-of-1 Trial Design for Identifying an Optimal Treatment Among Multiple Candidates by Christian B. Pascual (22330170)

“…<p>The process of determining an individual’s optimal treatment can be laborious. In this article, we develop a Bayesian clinical trial design, called the <i>Platform-of-1</i>, to identify this treatment among multiple candidates. …”

Accelerated composition-process-properties design of precipitation-strengthened copper alloys using machine learning based on Bayesian optimization by Longjian Li (16412163)

“…The material design strategy for the multi-performance optimization of Cu-Ni-Si alloy through Bayesian optimization was proposed. …”

Discovery of Vascular Endothelial Growth Factor Receptor 2 Inhibitors Employing Junction Tree Variational Autoencoder with Bayesian Optimization and Gradient Ascent by Gia-Bao Truong (20173121)

“…To achieve this goal, we utilized the junction tree variational autoencoder in combination with two optimization approaches on the latent space: the local Bayesian optimization on the initial data set and the gradient ascent on nine FDA-approved drugs targeting VEGFR-2. …”

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. …”

Face recognition algorithm flow. by Na Lin (69470)

“…The PCA algorithm is optimized by introducing beta prior and full probability Bayesian model. …”

Data Sheet 1_Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database.zip by Hongyi Chen (2097328)

“…To address class imbalance, we implemented feature engineering with SMOTE and under-sampling techniques. Model optimization was performed via Bayesian hyperparameter tuning. …”

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. …”