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cs.LG2026
A Complexity Measure for Active Learning in Multi-group Mean Estimation
Abdellah Aznag, Rachel Cummings, Adam N. Elmachtoub
We study a \emph{max-risk} objective for active learning in a multi-group mean estimation -armed bandits: a learner adaptively allocates a budget of samples across group…
cs.LG2025
An active learning framework for multi-group mean estimation
Abdellah Aznag, Rachel Cummings, Adam N. Elmachtoub
We study a fundamental learning problem over multiple groups with unknown data distributions, where an analyst would like to learn the mean of each group. Moreover, we want to ensu…
cs.LG2021
MNL-Bandit with Knapsacks: a near-optimal algorithm
Abdellah Aznag, Vineet Goyal, Noemie Perivier
We consider a dynamic assortment selection problem where a seller has a fixed inventory of substitutable products and faces an unknown demand that arrives sequentially over …