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

Bayesian Functional Optimisation with Shape Prior AAAI 2019
Molecular Hypergraph Grammar with Its Application to Molecular Optimization ICML 2019
NeVAE: A Deep Generative Model for Molecular Graphs AAAI 2019
Learning to Optimize in Swarms NIPS 2019
Meta Architecture Search NIPS 2019
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning NIPS 2019
Thompson Sampling with Information Relaxation Penalties NIPS 2019
A Bayesian Optimization Framework for Neural Network Compression ICCV 2019
Bayesian Optimization Meets Bayesian Optimal Stopping ICML 2019
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations UAI 2019
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models AAAI 2019
Probabilistic Matrix Factorization for Automated Machine Learning NIPS 2018
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation NIPS 2018
Efficient nonmyopic batch active search NIPS 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NIPS 2018
Automating Bayesian optimization with Bayesian optimization NIPS 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes ICML 2018
Tight Regret Bounds for Bayesian Optimization in One Dimension ICML 2018
Fast Model Identification via Physics Engines for Data-Efficient Policy Search IJCAI 2018
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation NIPS 2018
Bayesian Optimization of Combinatorial Structures ICML 2018
Scaling Gaussian Process Regression with Derivatives NIPS 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups AISTATS 2018
ELFI: Engine for Likelihood-Free Inference JMLR 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning ICML 2018