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minimax optimality

topic2 events
papersTODAY 04:00 UTC

N2: A Python Package and Test Bench for Nearest Neighbor Matrix Completion

Researchers released N2, an open-source Python package that unifies implementations and evaluation of nearest neighbor methods for matrix completion. The work highlights renewed interest in these approaches, which now come with theoretical guarantees such as entry-wise error bounds and minimax optimality. It is positioned as a shared test bench for comparing such methods fairly.

matrix-completion/open-source/benchmark/nearest-neighbor
papersTODAY 04:00 UTC

Minimax-Optimal Regret Bounds for Linear Contextual Bandits with Adaptive Action Sets

A new arXiv paper studies stochastic linear contextual bandits where the set of available actions can vary arbitrarily, depending on both the unknown parameter and past interactions. The authors prove matching upper and lower bounds on regret that agree up to logarithmic factors, characterizing the problem's minimax rate.

bandits/reinforcement-learning/learning-theory/arxiv