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Robustness to distributional shift is one of the key challenges of contemporary machine learning.
Adaptive and safe Bayesian optimization in high dimensions via one-dimensional subspaces
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Bayesian optimisation under uncertain inputs
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Distributionally robust optimization: A review
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Gaussian processes for machine learning
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Bińkowski, M., Sutherland, D. J., Arbel, M., and Gretton, A. (2018) · 2018
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Adversarially robust optimization with Gaussian processes
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Open power system data
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Distributionally robust optimization and generalization in kernel methods
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Profile-based bandit with unknown profiles
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