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Bayesian Optimization

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Showing 301–350 of 1900 papers

TitleStatusHype
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization—0
Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Exploration—0
Bayesian Optimization with Shape Constraints—0
Bayesian optimized deep ensemble for uncertainty quantification of deep neural networks: a system safety case study on sodium fast reactor thermal stratification modeling—0
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit—0
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family—0
AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs—0
Active Illumination Control in Low-Light Environments using NightHawk—0
Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation—0
AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models—0
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification—0
Active Contextual Entropy Search—0
Auto-Differentiating Linear Algebra—0
AutoBSS: An Efficient Algorithm for Block Stacking Style Search—0
A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning—0
Comparative Analysis of Black-Box Optimization Methods for Weather Intervention Design—0
Bayesian optimization with local search—0
autoBagging: Learning to Rank Bagging Workflows with Metalearning—0
A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization—0
Bayesian optimization with improved scalability and derivative information for efficient design of nanophotonic structures—0
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization—0
AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites—0
A Hardware-Aware System for Accelerating Deep Neural Network Optimization—0
Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?—0
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML—0
Augmented Bayesian Policy Search—0
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning—0
A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method—0
A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging—0
Bayesian Optimization with Informative Covariance—0
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection—0
Bayesian Optimization with Directionally Constrained Search—0
Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins—0
A Quantile-based Approach for Hyperparameter Transfer Learning—0
Constrained multi-fidelity Bayesian optimization with automatic stop condition—0
Bayesian Optimization with Exponential Convergence—0
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes—0
Asynchronous Multi Agent Active Search—0
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization—0
A General Framework for Constrained Bayesian Optimization using Information-based Search—0
A Copula approach for hyperparameter transfer learning—0
Bayesian Optimization with Dimension Scheduling: Application to Biological Systems—0
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction—0
Asymptotic Performance of Time-Varying Bayesian Optimization—0
A survey on policy search algorithms for learning robot controllers in a handful of trials—0
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data—0
A Fuzzy Cascaded Proportional-Derivative Controller for Under-actuated Flexible Joint Manipulators Using Bayesian Optimization—0
Multi-objective Bayesian Optimization using Pareto-frontier Entropy—0
A Stratified Analysis of Bayesian Optimization Methods—0
A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins—0
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