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Bayesian Optimization

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Showing 1101–1150 of 1900 papers

TitleStatusHype
Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding—0
Predicting the utility of search spaces for black-box optimization:a simple, budget-aware approach—0
Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning—0
Triangulation candidates for Bayesian optimizationCode0
Efficient Device Scheduling with Multi-Job Federated Learning—0
Multi-objective simulation optimization of the adhesive bonding process of materials—0
Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization—0
Online Calibrated and Conformal Prediction Improves Bayesian Optimization—0
Multi-Task Learning on Networks—0
Two-step Lookahead Bayesian Optimization with Inequality Constraints—0
Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization—0
Towards Futuristic Autonomous Experimentation--A Surprise-Reacting Sequential Experiment Policy—0
Constrained Two-step Look-Ahead Bayesian Optimization—0
Optimizing Conditional Value-At-Risk of Black-Box FunctionsCode0
Counterexample Guided RL Policy Refinement Using Bayesian OptimizationCode0
Playing Ping Pong with Light: Directional Emission of White Light—0
Automated Benchmark-Driven Design and Explanation of Hyperparameter OptimizersCode0
Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization—0
Towards Robust and Automatic Hyper-Parameter TunningCode0
Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning—0
Transfer Learning with Gaussian Processes for Bayesian OptimizationCode0
Prediction of Probabilistic Transient Stability Using Support Vector Machine—0
Quality and Computation Time in Optimization Problems—0
Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics—0
Accounting for Gaussian Process Imprecision in Bayesian OptimizationCode0
Bayesian Optimization for Cascade-type Multi-stage Processes—0
Stochastic Gradient Line Bayesian Optimization for Efficient Noise-Robust Optimization of Parameterized Quantum Circuits—0
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation CostsCode0
Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes—0
Searching in the Forest for Local Bayesian Optimization—0
Optimizing Bayesian acquisition functions in Gaussian Processes—0
Explaining Hyperparameter Optimization via Partial Dependence PlotsCode0
Contextual Bayesian optimization with binary outputs—0
An Algorithmic Theory of Metacognition in Minds and Machines—0
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family—0
Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems—0
End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization—0
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation—0
Bayesian optimization of distributed neurodynamical controller models for spatial navigation—0
A comparison of mixed-variables Bayesian optimization approaches—0
Differentially Private Federated Bayesian Optimization with Distributed Exploration—0
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes—0
Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds—0
Bayesian Optimization and Deep Learning forsteering wheel angle prediction—0
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies—0
Bayesian Active Meta-Learning for Black-Box Optimization—0
A portfolio approach to massively parallel Bayesian optimization—0
Efficient Exploration in Binary and Preferential Bayesian Optimization—0
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems—0
Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System—0
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