A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms

20 December 2018

Papers citing "A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms"

10 / 10 papers shown

Title
Importance Sampling for Nonlinear Models Prakash Palanivelu Rajmohan Fred Roosta 22 0 0 18 May 2025
Provably Accurate Shapley Value Estimation via Leverage Score Sampling Christopher Musco R. Teal Witter FAtt FedML TDI 57 2 0 02 Oct 2024
Active Learning for Single Neuron Models with Lipschitz Non-Linearities Aarshvi Gajjar Chinmay Hegde Christopher Musco 40 12 0 24 Oct 2022
Near Optimal Reconstruction of Spherical Harmonic Expansions A. Zandieh Insu Han H. Avron 29 0 0 25 Feb 2022
Generalized Leverage Score Sampling for Neural Networks Jason D. Lee Ruoqi Shen Zhao Song Mengdi Wang Zheng Yu 26 42 0 21 Sep 2020
Training (Overparametrized) Neural Networks in Near-Linear Time Jan van den Brand Binghui Peng Zhao Song Omri Weinstein ODL 34 83 0 20 Jun 2020
The Statistical Cost of Robust Kernel Hyperparameter Tuning R. A. Meyer Christopher Musco 21 2 0 14 Jun 2020
An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications Haotian Jiang Y. Lee Zhao Song Sam Chiu-wai Wong 27 106 0 08 Apr 2020
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data A. Eshragh Fred Roosta A. Nazari Michael W. Mahoney AI4TS 18 14 0 27 Nov 2019
Kernel quadrature with DPPs Ayoub Belhadji Rémi Bardenet P. Chainais 36 39 0 18 Jun 2019