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Bayesian Optimization

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Showing 501–550 of 1900 papers

TitleStatusHype
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems—0
BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings—0
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization—0
Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning—0
BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration—0
Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning—0
AutoOED: Automated Optimal Experimental Design Platform with Data- and Time-Efficient Multi-Objective Optimization—0
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes—0
Adaptive Model Refinement with Batch Bayesian Sampling for Optimization of Bio-inspired Flow Tailoring—0
Bayesian Optimization For Multi-Objective Mixed-Variable Problems—0
Bayesian Optimization for Multi-objective Optimization and Multi-point Search—0
Approximating Pareto Frontier through Bayesian-optimization-directed Robust Multi-objective Reinforcement Learning—0
Bayesian optimization for modular black-box systems with switching costs—0
Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design—0
Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes—0
A Comparative Analysis of Nigeria's Power Sector with and without Grid-Scale Storage: Future Implications for Emission and Renewable Energy Integration—0
Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality—0
Approximate and Weighted Data Reconstruction Attack in Federated Learning—0
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables—0
CorrAttack: Black-box Adversarial Attack with Structured Search—0
Addressing Out-of-Distribution Challenges in Image Semantic Communication Systems with Multi-modal Large Language Models—0
Bayesian Optimization for Macro Placement—0
Cooperative Bayesian Optimization for Imperfect Agents—0
Cost-aware Bayesian Optimization—0
Bayesian Optimization for Machine Learning : A Practical Guidebook—0
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models—0
A portfolio approach to massively parallel Bayesian optimization—0
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization—0
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration—0
Convolutional neural network for Lyman break galaxies classification and redshift regression in DESI (Dark Energy Spectroscopic Instrument)—0
Cost-Efficient Online Hyperparameter Optimization—0
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture—0
Bayesian Optimization for Dynamic Problems—0
3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning—0
Bayesian Optimization for Distributionally Robust Chance-constrained Problem—0
Bayesian Optimization for Developmental Robotics with Meta-Learning by Parameters Bounds Reduction—0
A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle—0
Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems—0
Bayesian Optimization for CVaR-based portfolio optimization—0
Bayesian Optimization for Controlled Image Editing via LLMs—0
A Data Driven Sequential Learning Framework to Accelerate and Optimize Multi-Objective Manufacturing Decisions—0
Bayesian Optimization for Cascade-type Multi-stage Processes—0
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps—0
Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems—0
Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization—0
Bayesian Optimization for Building Social-Influence-Free Consensus—0
Bayesian optimization for backpropagation in Monte-Carlo tree search—0
A Nonparametric Unsupervised Learning Approach for Structural Damage Detection—0
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma—0
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