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Bayesian Optimization

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TitleStatusHype
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction—0
Rapid Discovery of Graphene Nanocrystals Using DFT and Bayesian Optimization with Neural Network Kernel—0
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function—0
A Comparative Analysis of Nigeria's Power Sector with and without Grid-Scale Storage: Future Implications for Emission and Renewable Energy Integration—0
A Comparative study of Hyper-Parameter Optimization Tools—0
A comparison of mixed-variables Bayesian optimization approaches—0
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment—0
A Computational Approach to Epilepsy Treatment: An AI-optimized Global Natural Product Prescription System—0
A Copula approach for hyperparameter transfer learning—0
A Quantile-based Approach for Hyperparameter Transfer Learning—0
Active Contextual Entropy Search—0
Active Illumination Control in Low-Light Environments using NightHawk—0
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal—0
Active Learning of Linear Embeddings for Gaussian Processes—0
Active preference learning based on radial basis functions—0
Active search for Bifurcations—0
Active Search for Sparse Signals with Region Sensing—0
Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data—0
AdaptiFont: Increasing Individuals' Reading Speed with a Generative Font Model and Bayesian Optimization—0
Adaptive Bayesian Linear Regression for Automated Machine Learning—0
Adaptive Bayesian Optimization for High-Precision Motion Systems—0
Adaptive Compression-based Lifelong Learning—0
Adaptive Configuration Oracle for Online Portfolio Selection Methods—0
Adaptive Expansion Bayesian Optimization for Unbounded Global Optimization—0
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables—0
Adaptive Multi-Objective Bayesian Optimization for Capacity Planning of Hybrid Heat Sources in Electric-Heat Coupling Systems of Cold Regions—0
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions—0
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift—0
Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization—0
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma—0
A Data Driven Sequential Learning Framework to Accelerate and Optimize Multi-Objective Manufacturing Decisions—0
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization—0
Addressing Out-of-Distribution Challenges in Image Semantic Communication Systems with Multi-modal Large Language Models—0
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization—0
ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models—0
Advanced Manufacturing Configuration by Sample-efficient Batch Bayesian Optimization—0
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down—0
A Systematic Review of Low-Rank and Local Low-Rank Matrix Approximation in Big Data Medical Imaging—0
A finite element-based machine learning model for hydro-mechanical analysis of swelling behavior in clay-sulfate rocks—0
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations—0
A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games—0
A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins—0
A Fuzzy Cascaded Proportional-Derivative Controller for Under-actuated Flexible Joint Manipulators Using Bayesian Optimization—0
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data—0
A General Framework for Constrained Bayesian Optimization using Information-based Search—0
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes—0
A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method—0
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning—0
A Hardware-Aware System for Accelerating Deep Neural Network Optimization—0
A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning—0
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