{"total":13,"rows":[{"id":"2410.01917","title":"Provably Accurate Shapley Value Estimation via Leverage Score Sampling","created":"2024-10-02","cited_by_count":23,"area":null},{"id":"2210.13601","title":"Active Learning for Single Neuron Models with Lipschitz Non-Linearities","created":"2022-10-24","cited_by_count":12,"area":null},{"id":"2306.00945","title":"CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions","created":"2023-06-01","cited_by_count":11,"area":null},{"id":"2405.09312","title":"Agnostic Active Learning of Single Index Models with Linear Sample Complexity","created":"2024-05-15","cited_by_count":11,"area":null},{"id":"2202.03474","title":"Random Gegenbauer Features for Scalable Kernel Methods","created":"2022-02-07","cited_by_count":6,"area":null},{"id":"2202.04515","title":"Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time","created":"2022-02-09","cited_by_count":6,"area":null},{"id":"2310.04966","title":"Improved Active Learning via Dependent Leverage Score Sampling","created":"2023-10-08","cited_by_count":6,"area":null},{"id":"2409.02342","title":"Optimal sampling for least-squares approximation","created":"2024-09-04","cited_by_count":6,"area":null},{"id":"2106.02774","title":"Robust Model Selection and Nearly-Proper Learning for GMMs","created":"2021-06-05","cited_by_count":3,"area":null},{"id":"2310.09437","title":"Signal reconstruction using determinantal sampling","created":"2023-10-13","cited_by_count":2,"area":null},{"id":"2202.12995","title":"Near Optimal Reconstruction of Spherical Harmonic Expansions","created":"2022-02-25","cited_by_count":0,"area":null},{"id":"2505.12353","title":"Importance Sampling for Nonlinear Models","created":"2025-05-18","cited_by_count":0,"area":null},{"id":"2605.05435","title":"Active Learning for Conditional Generative Compressed Sensing","created":"2026-05-06","cited_by_count":0,"area":null}],"next_cursor":null}