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Bayesian Optimization

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Showing 1701–1725 of 1900 papers

TitleStatusHype
ILPS at TREC 2017 Common Core Track—0
Information Directed Sampling and Bandits with Heteroscedastic Noise—0
Upgrading from Gaussian Processes to Student's-T Processes—0
Lifelong Learning for Sentiment Classification—0
Combination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning—0
PHOENICS: A universal deep Bayesian optimizerCode0
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification—0
Continuous-fidelity Bayesian Optimization with Knowledge Gradient—0
Query-limited Black-box Attacks to ClassifiersCode0
Hyperparameters Optimization in Deep Convolutional Neural Network / Bayesian Approach with Gaussian Process Prior—0
Practical Bayesian optimization in the presence of outliers—0
Shape optimization in laminar flow with a label-guided variational autoencoder—0
Variational Inference over Non-differentiable Cardiac Simulators using Bayesian Optimization—0
Multiple Adaptive Bayesian Linear Regression for Scalable Bayesian Optimization with Warm Start—0
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks—0
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical PropertiesCode0
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms—0
Lookahead Bayesian Optimization with Inequality Constraints—0
The reparameterization trick for acquisition functionsCode0
Decentralized High-Dimensional Bayesian Optimization with Factor Graphs—0
GPflowOpt: A Bayesian Optimization Library using TensorFlowCode0
Auto-Differentiating Linear Algebra—0
Fast Model Identification via Physics Engines for Data-Efficient Policy Search—0
Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning—0
Learning to Warm-Start Bayesian Hyperparameter Optimization—0
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