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

Information Directed Sampling and Bandits with Heteroscedastic Noise COLT 2018
Maximizing acquisition functions for Bayesian optimization NIPS 2018
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features NIPS 2018
Adversarially Robust Optimization with Gaussian Processes NIPS 2018
BOCK : Bayesian Optimization with Cylindrical Kernels ICML 2018
Structured Variationally Auto-encoded Optimization ICML 2018
Exploiting Strategy-Space Diversity for Batch Bayesian Optimization AISTATS 2018
Fast Information-theoretic Bayesian Optimisation ICML 2018
Cost-aware Cascading Bandits IJCAI 2018
Batched Large-scale Bayesian Optimization in High-dimensional Spaces AISTATS 2018
Practical Bayesian optimization in the presence of outliers AISTATS 2018
Parallelised Bayesian Optimisation via Thompson Sampling AISTATS 2018
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation CORL 2018
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design ICML 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale ICML 2018
Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 2018
Differentiable Compositional Kernel Learning for Gaussian Processes ICML 2018
Scalable Hyperparameter Transfer Learning NIPS 2018
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NIPS 2018
On Kernelized Multi-armed Bandits ICML 2017
Preferential Bayesian Optimization ICML 2017
Discovering and Exploiting Additive Structure for Bayesian Optimization AISTATS 2017
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning IJCAI 2017
Hierarchical Constrained Bayesian Optimization for Feature, Acoustic Model and Decoder Parameter Optimization INTERSPEECH 2017
Deep Kernels for Optimizing Locomotion Controllers CORL 2017