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Bayesian Optimization

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Showing 351–375 of 1900 papers

TitleStatusHype
A Bayesian approach for prompt optimization in pre-trained language models—0
Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Prediction—0
Bayesian Variational Optimization for Combinatorial Spaces—0
Benchmarking state-of-the-art gradient boosting algorithms for classification—0
Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm—0
ASPO: Constraint-Aware Bayesian Optimization for FPGA-based Soft Processors—0
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations—0
A Simple Heuristic for Bayesian Optimization with A Low Budget—0
A finite element-based machine learning model for hydro-mechanical analysis of swelling behavior in clay-sulfate rocks—0
A Computational Approach to Epilepsy Treatment: An AI-optimized Global Natural Product Prescription System—0
ASFGNN: Automated Separated-Federated Graph Neural Network—0
A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization—0
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment—0
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning—0
A Sensorimotor Reinforcement Learning Framework for Physical Human-Robot Interaction—0
Bayesian Optimization Meets Laplace Approximation for Robotic Introspection—0
Bayesian Optimization Meets Hybrid Zero Dynamics: Safe Parameter Learning for Bipedal Locomotion Control—0
A self-adapting super-resolution structures framework for automatic design of GAN—0
A Systematic Review of Low-Rank and Local Low-Rank Matrix Approximation in Big Data Medical Imaging—0
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm—0
Bayesian Optimization with Unknown Constraints—0
Bayesian Optimization of 2D Echocardiography Segmentation—0
Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction—0
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control—0
A comparison of mixed-variables Bayesian optimization approaches—0
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