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

GLASSES: Relieving The Myopia Of Bayesian Optimisation AISTATS 2016
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015
Scalable Bayesian Optimization Using Deep Neural Networks ICML 2015
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NIPS 2015
Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015
Bayesian Optimization with Exponential Convergence NIPS 2015
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions NIPS 2015
Efficient and Robust Automated Machine Learning NIPS 2015
Probabilistic Line Searches for Stochastic Optimization NIPS 2015
Differentially Private Bayesian Optimization ICML 2015
High Dimensional Bayesian Optimisation and Bandits via Additive Models ICML 2015
Bayesian Multi-Scale Optimistic Optimization AISTATS 2014
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NIPS 2014
Active Learning of Parameterized Skills ICML 2014
Input Warping for Bayesian Optimization of Non-Stationary Functions ICML 2014
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Bayesian Optimization with Inequality Constraints ICML 2014
Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes ICML 2014
A Stepwise uncertainty reduction approach to constrained global optimization AISTATS 2014
Gaussian Process Optimization with Mutual Information ICML 2014
An Efficient Approach for Assessing Hyperparameter Importance ICML 2014
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits JMLR 2014
Using Trajectory Data to Improve Bayesian Optimization for Reinforcement Learning JMLR 2014
Bayes-Adaptive Simulation-based Search with Value Function Approximation NIPS 2014
Student-t Processes as Alternatives to Gaussian Processes AISTATS 2014