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Bayesian Optimization

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Showing 1001–1050 of 1900 papers

TitleStatusHype
Efficient Device Scheduling with Multi-Job Federated Learning—0
Multi-objective simulation optimization of the adhesive bonding process of materials—0
Online Calibrated and Conformal Prediction Improves Bayesian Optimization—0
Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization—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
Bayesian Optimization over Permutation SpacesCode1
Towards Futuristic Autonomous Experimentation--A Surprise-Reacting Sequential Experiment Policy—0
Counterexample Guided RL Policy Refinement Using Bayesian OptimizationCode0
Constrained Two-step Look-Ahead Bayesian Optimization—0
Optimizing Conditional Value-At-Risk of Black-Box FunctionsCode0
Playing Ping Pong with Light: Directional Emission of White Light—0
Automated Benchmark-Driven Design and Explanation of Hyperparameter OptimizersCode0
Naive Automated Machine LearningCode1
Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization—0
Towards Robust and Automatic Hyper-Parameter TunningCode0
Bayesian Optimization for auto-tuning GPU kernelsCode1
A stacked DCNN to predict the RUL of a turbofan engineCode1
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engineCode1
Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning—0
Prediction of Probabilistic Transient Stability Using Support Vector Machine—0
Transfer Learning with Gaussian Processes for Bayesian OptimizationCode0
Quality and Computation Time in Optimization Problems—0
Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics—0
Bayesian Optimization for Cascade-type Multi-stage Processes—0
Accounting for Gaussian Process Imprecision in Bayesian OptimizationCode0
Stochastic Gradient Line Bayesian Optimization for Efficient Noise-Robust Optimization of Parameterized Quantum Circuits—0
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation CostsCode0
Searching in the Forest for Local Bayesian Optimization—0
Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes—0
Optimizing Bayesian acquisition functions in Gaussian Processes—0
Explaining Hyperparameter Optimization via Partial Dependence PlotsCode0
IOHexperimenter: Benchmarking Platform for Iterative Optimization HeuristicsCode1
Contextual Bayesian optimization with binary outputs—0
Risk-averse Heteroscedastic Bayesian OptimizationCode1
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family—0
An Algorithmic Theory of Metacognition in Minds and Machines—0
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for LassoCode1
Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems—0
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn KernelsCode1
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial SpacesCode1
End-to-End Learning of Deep Kernel Acquisition Functions for Bayesian Optimization—0
Bayesian optimization of distributed neurodynamical controller models for spatial navigation—0
Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCupCode1
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation—0
A comparison of mixed-variables Bayesian optimization approaches—0
Differentially Private Federated Bayesian Optimization with Distributed Exploration—0
Dynamic Causal Bayesian OptimizationCode1
Emulation of physical processes with EmukitCode1
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