conftrace_

bayesian optimization

624 papers

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Also known as

BO BAYESOPT

Co-occurring keywords

gaussian process (1200) acquisition function (129) hyperparameter optimization (406) regret bound (1926) black-box optimization (183) surrogate model (181) hyperparameter tuning (215) multi-objective optimization (364) thompson sampling (237) high-dimensional optimization (53)

Papers

Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision CORL 2017
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization COLT 2017
Adapting Topic Models using Lexical Associations with Tree Priors EMNLP 2017
Process-constrained batch Bayesian optimisation NIPS 2017
Improving the Expected Improvement Algorithm NIPS 2017
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets AISTATS 2017
Learning to select data for transfer learning with Bayesian Optimization EMNLP 2017
High Dimensional Bayesian Optimization using Dropout IJCAI 2017
Regret for Expected Improvement over the Best-Observed Value and Stopping Condition ACML 2017
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NIPS 2017
Learning to Learn without Gradient Descent by Gradient Descent ICML 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations ICML 2017
Distributed Batch Gaussian Process Optimization ICML 2017
High Dimensional Bayesian Optimization with Elastic Gaussian Process ICML 2017
Max-value Entropy Search for Efficient Bayesian Optimization ICML 2017
Bayesian Optimization with Tree-structured Dependencies ICML 2017
Multi-Information Source Optimization NIPS 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning ICML 2017
CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics NSDI 2017
Bayesian Optimization with Gradients NIPS 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space ICML 2017
Local Bayesian Optimization of Motor Skills ICML 2017
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search NIPS 2017
Probabilistic Line Searches for Stochastic Optimization JMLR 2017
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA JMLR 2017