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stat.ML2025★ 1 cited
Sequential Learning of the Pareto Front for Multi-objective Bandits
Elise Crépon, Aurélien Garivier, Wouter M Koolen
We study the problem of sequential learning of the Pareto front in multi-objective multi-armed bandits. An agent is faced with K possible arms to pull. At each turn she picks one,…
stat.ML2019
A Review on Quantile Regression for Stochastic Computer Experiments
Léonard Torossian, Victor Picheny, Robert Faivre +1
We report on an empirical study of the main strategies for quantile regression in the context of stochastic computer experiments. To ensure adequate diversity, six metamodels are p…