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2002.09038
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Distributionally Robust Bayesian Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
20 February 2020
Johannes Kirschner
Ilija Bogunovic
Stefanie Jegelka
Andreas Krause
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Papers citing
"Distributionally Robust Bayesian Optimization"
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Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation
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233
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Near-optimal Policy Identification in Active Reinforcement Learning
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Viraj Mehta
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I. Char
Willie Neiswanger
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Andreas Krause
Ilija Bogunovic
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250
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Mind the Gap: Measuring Generalization Performance Across Multiple Objectives
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Matthias Feurer
Katharina Eggensperger
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Distributionally Robust Bayesian Optimization with
φ
\varphi
φ
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Bayesian Optimization for Distributionally Robust Chance-constrained Problem
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Misspecified Gaussian Process Bandit Optimization
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Risk-averse Heteroscedastic Bayesian Optimization
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Unsupervised Learning of Debiased Representations with Pseudo-Attributes
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Joon-Young Lee
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Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
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Distributionally Robust Optimization with Markovian Data
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Active learning for distributionally robust level-set estimation
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HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
Alexander I. Cowen-Rivers
Wenlong Lyu
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Zhi Wang
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Hao Jianye
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