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Bayesian Optimization

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Showing 1851–1900 of 1900 papers

TitleStatusHype
Optimization as Estimation with Gaussian Processes in Bandit SettingsCode0
UAVs using Bayesian Optimization to Locate WiFi Devices—0
Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial OptimizationCode1
Unbounded Bayesian Optimization via Regularization—0
A Java Implementation of the SGA, UMDA, ECGA, and HBOACode0
Java Implementation of a Parameter-less Evolutionary PortfolioCode0
A Java Implementation of Parameter-less Evolutionary AlgorithmsCode0
Mondrian Forests for Large-Scale Regression when Uncertainty MattersCode0
Local Nonstationarity for Efficient Bayesian Optimization—0
Bayesian optimization for materials designCode0
Batch Bayesian Optimization via Local PenalizationCode0
Bayesian Optimization for Synthetic Gene Design—0
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction—0
Differentiating the multipoint Expected Improvement for optimal batch design—0
Denoising Autoencoders for fast Combinatorial Black Box OptimizationCode1
Bayesian Optimization of Text Representations—0
Classification and Bayesian Optimization for Likelihood-Free Inference—0
Scalable Bayesian Optimization Using Deep Neural NetworksCode0
Predictive Entropy Search for Bayesian Optimization with Unknown ConstraintsCode0
Probabilistic Line Searches for Stochastic OptimizationCode0
Differentially Private Bayesian Optimization—0
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models—0
Scalability of using Restricted Boltzmann Machines for Combinatorial Optimization—0
A warped kernel improving robustness in Bayesian optimization via random embeddings—0
Enhanced Higgs to τ^+τ^- Searches with Deep Learning—0
Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces—0
A new integral loss function for Bayesian optimization—0
An Entropy Search Portfolio for Bayesian Optimization—0
Freeze-Thaw Bayesian OptimizationCode0
Predictive Entropy Search for Efficient Global Optimization of Black-box FunctionsCode0
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and BanditsCode0
Bayesian Optimization with Unknown Constraints—0
Bayesian Multi-Scale Optimistic Optimization—0
Student-t Processes as Alternatives to Gaussian Processes—0
Input Warping for Bayesian Optimization of Non-stationary Functions—0
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning AlgorithmsCode0
High-Dimensional Gaussian Process Bandits—0
Multi-Task Bayesian Optimization—0
Bayesian optimization explains human active search—0
No Free Lunch Theorem and Bayesian probability theory: two sides of the same coin. Some implications for black-box optimization and metaheuristics—0
Active Learning of Linear Embeddings for Gaussian Processes—0
Bayesian Optimization With Censored Response Data—0
BayesOpt: A Library for Bayesian optimization with Robotics Applications—0
Exploiting correlation and budget constraints in Bayesian multi-armed bandit optimization—0
Bayesian Optimization in a Billion Dimensions via Random EmbeddingsCode0
Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification AlgorithmsCode0
Practical Bayesian Optimization of Machine Learning AlgorithmsCode0
A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization—0
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement LearningCode2
Batch Bayesian Optimization via Simulation Matching—0
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