13 citations · 15 across the 3 of their papers we have counts for
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cs.LG2017★ 13 cited
Practical Bayesian optimization in the presence of outliers
Ruben Martinez-Cantin, Kevin Tee, Michael McCourt
Inference in the presence of outliers is an important field of research as outliers are ubiquitous and may arise across a variety of problems and domains. Bayesian optimization is…
cs.LG2017★ 2 cited
Robust Bayesian Optimization with Student-t Likelihood
Ruben Martinez-Cantin, Michael McCourt, Kevin Tee
Bayesian optimization has recently attracted the attention of the automatic machine learning community for its excellent results in hyperparameter tuning. BO is characterized by th…