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Bayesian Optimization

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Showing 1051–1100 of 1900 papers

TitleStatusHype
Bayesian Optimization and Deep Learning forsteering wheel angle prediction—0
Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds—0
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes—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
VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints—0
Output Space Entropy Search Framework for Multi-Objective Bayesian OptimizationCode1
Surrogate-Assisted Reference Vector Adaptation to Various Pareto Front Shapes for Many-Objective Bayesian OptimizationCode0
Revisiting Design Choices in Offline Model-Based Reinforcement Learning—0
Scaling Bayesian Optimization With Game Theory—0
On the Correspondence between Gaussian Processes and Geometric Harmonics—0
Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR dataCode1
Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell ManufacturingCode1
Differentiable Hyper-parameter Optimization—0
AutoMO-Mixer: An automated multi-objective multi-layer perspecton Mixer model for medical image based diagnosis—0
Benchmarking Algorithms from Machine Learning for Low-Budget Black-Box Optimization—0
RoDesigner: Variation-Aware Optimization for Robust Analog Design with Multi-Task RL—0
BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization—0
Neural Bootstrapping Attention for Neural Processes—0
AutoOED: Automated Optimal Experimental Design Platform with Data- and Time-Efficient Multi-Objective Optimization—0
Expected Improvement-based Contextual Bandits—0
H-Entropy Search: Generalizing Bayesian Optimization with a Decision-theoretic Uncertainty Measure—0
DEBOSH: Deep Bayesian Shape Optimization—0
High-Dimensional Discrete Bayesian Optimization with Self-Supervised Representation Learning for Data-Efficient Materials ExplorationCode0
Scalable Bayesian Optimization Accelerates Process Optimization of Penicillin ProductionCode0
A Bayesian Optimization Approach for Attenuation Correction in SPECT Brain Imaging—0
Online Adaptation of Parameters using GRU-based Neural Network with BO for Accurate Driving Model—0
A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems—0
Multi-Objective Bayesian Optimization over High-Dimensional Search SpacesCode0
Bayesian Optimization with Clustering and Rollback for CNN Auto PruningCode0
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter OptimizationCode2
Computationally Efficient High-Dimensional Bayesian Optimization via Variable SelectionCode0
Pre-trained Gaussian Processes for Bayesian OptimizationCode1
Non-smooth Bayesian Optimization in Tuning ProblemsCode0
Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization—0
Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms—0
Learning Performance Bounds for Safety-Critical Systems—0
Data-Driven Learning of 3-Point Correlation Functions as Microstructure RepresentationsCode0
An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures—0
LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces—0
Text AutoAugment: Learning Compositional Augmentation Policy for Text ClassificationCode1
Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints—0
Unsupervised Reservoir Computing for Solving Ordinary Differential EquationsCode1
Time Dependence in Kalman Filter TuningCode1
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma—0
Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control—0
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