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Bayesian Optimization

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Showing 1451–1500 of 1900 papers

TitleStatusHype
Preparation of ordered states in ultra-cold gases using Bayesian optimization—0
Expected Improvement versus Predicted Value in Surrogate-Based OptimizationCode0
Offline Contextual Bayesian Optimization for Nuclear Fusion—0
Bayesian task embedding for few-shot Bayesian optimizationCode0
Outsourced Bayesian Optimization—0
Learning Neural Surrogate Model for Warm-Starting Bayesian Optimization—0
Learning Human Postural Control with Hierarchical Acquisition Functions—0
Model Inversion Networks for Model-Based Optimization—0
Benchmarking the Neural Linear Model for Regression—0
Kalman Filter Tuning with Bayesian Optimization—0
Progressive Learning Algorithm for Efficient Person Re-Identification—0
Meta-Learning Initializations for Image SegmentationCode0
Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax—0
Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network—0
Offline Contextual Bayesian OptimizationCode0
Max-value Entropy Search for Multi-Objective Bayesian OptimizationCode1
Practical Two-Step Lookahead Bayesian Optimization—0
Bayesian Optimization for Categorical and Category-Specific Continuous InputsCode0
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization—0
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS—0
Bayesian optimization with local search—0
Black-box Combinatorial Optimization using Models with Integer-valued MinimaCode0
A Simple Heuristic for Bayesian Optimization with A Low Budget—0
Multi-Attribute Bayesian Optimization With Interactive Preference Learning—0
AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case—0
A Programmable Approach to Neural Network CompressionCode0
Designing over uncertain outcomes with stochastic sampling Bayesian optimization—0
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout—0
On Batch Bayesian Optimization—0
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints—0
Machine Learning for high speed channel optimization—0
Safe Exploration for Interactive Machine Learning—0
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization—0
Bayesian Optimization with Unknown Search SpaceCode0
Prior Specification for Bayesian Matrix Factorization via Prior Predictive MatchingCode0
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture SearchCode1
Leveraging Legacy Data to Accelerate Materials Design via Preference LearningCode0
Intensity-Based Feature Selection for Near Real-Time Damage Diagnosis of Building Structures—0
Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxideCode0
Parameter estimation for biochemical reaction networks using Wasserstein distancesCode0
Dynamic Subgoal-based Exploration via Bayesian OptimizationCode0
Bayesian Optimization Allowing for Common Random Numbers—0
Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes—0
Integrals over Gaussians under Linear Domain ConstraintsCode0
Policy Learning for Malaria ControlCode0
Constrained Bayesian Optimization with Max-Value Entropy Search—0
BoTorch: A Framework for Efficient Monte-Carlo Bayesian OptimizationCode2
Bayesian Optimization using Pseudo-Points—0
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning—0
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks—0
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