On Universally Optimal Algorithms for A/B Testing

Matroid Semi-Bandits in Sublinear Time

Optimal Clustering from Noisy Binary Feedback

On Uniformly Optimal Algorithms for Best Arm Identification in Two-Armed Bandits with Fixed Budget

Rate-Optimal Bayesian Simple Regret in Best Arm Identification

iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer

Attention in a family of Boltzmann machines emerging from modern Hopfield networks

Thresholded Lasso Bandit

Aggregate Learning for Mixed Frequency Data

広告配信オークションにおける入札戦略

Unbiased Lift-based Bidding System