Jonathan Weare

2 accepted papers

2024

Improved Active Learning via Dependent Leverage Score Sampling

Atsushi Shimizu, Xiaoou Cheng, Christopher Musco, Jonathan Weare

ICLR 2024oral

We show how to obtain improved active learning methods in the agnostic (adversarial noise) setting by combining marginal leverage score sampling with non-independent sampling strategies that promote spatial coverage. In particular, we propose an easily implemented method based on the \emph{pivotal s…

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2024

The surprising efficiency of temporal difference learning for rare event prediction

Xiaoou Cheng, Jonathan Weare

NeurIPS 2024poster

We quantify the efficiency of temporal difference (TD) learning over the direct, or Monte Carlo (MC), estimator for policy evaluation in reinforcement learning, with an emphasis on estimation of quantities related to rare events. Policy evaluation is complicated in the rare event setting by the long…

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