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https://openreview.net/forum?id=wg3rBImn3O Provably Accurate Shapley Value Estimation via Leverage Score Sampling | OpenReview Originally introduced in game theory, Shapley values have emerged as a central tool in explainable machine learning, where they are used to attribute model... shapley value leverage score accurate estimation via https://openreview.net/forum?id=eKXicUVKCs Binary Hypothesis Testing for Softmax Models and Leverage Score Models | OpenReview Softmax distributions are widely used in machine learning, including Large Language Models (LLMs), where the attention unit uses softmax distributions. We... hypothesis testing leverage score binary softmax models https://pmc.ncbi.nlm.nih.gov/articles/PMC10281711/ A Model-free Variable Screening Method Based on Leverage Score - PMC With rapid advances in information technology, massive datasets are collected in all fields of science, such as biology, chemistry, and social science. Useful... a model free variable based on leverage score screening https://openreview.net/forum?id=IYxDy2jDFL Improved Active Learning via Dependent Leverage Score Sampling | OpenReview We show how to obtain improved active learning methods in the agnostic (adversarial noise) setting by combining marginal leverage score sampling with... active learning leverage score improved via dependent https://arxiv.org/abs/2002.02291 [2002.02291] Weighted Gradient Coding with Leverage Score Sampling Abstract page for arXiv paper 2002.02291: Weighted Gradient Coding with Leverage Score Sampling weighted gradient leverage score 2002 02291 coding