Discrepancy, Coresets, and Sketches in Machine Learning

11 June 2019

Papers citing "Discrepancy, Coresets, and Sketches in Machine Learning"

10 / 10 papers shown

Title
Evaluation and Incident Prevention in an Enterprise AI Assistant Akash Maharaj David Arbour Daniel Lee Uttaran Bhattacharya Anup B. Rao Austin Zane Avi Feller Kun Qian Yunyao Li 25 0 0 11 Apr 2025
No Dimensional Sampling Coresets for Classification M. Alishahi Jeff M. Phillips 36 1 0 07 Feb 2024
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic Nicolas Schreuder E. De Vito Lorenzo Rosasco 21 3 0 22 Nov 2023
Farzi Data: Autoregressive Data Distillation Noveen Sachdeva Zexue He Wang-Cheng Kang Jianmo Ni D. Cheng Julian McAuley DD 21 3 0 15 Oct 2023
Leveraging Importance Weights in Subset Selection Gui Citovsky Giulia DeSalvo Sanjiv Kumar Srikumar Ramalingam Afshin Rostamizadeh Yunjuan Wang 37 3 0 28 Jan 2023
Obstacle Aware Sampling for Path Planning M. Tukan Alaa Maalouf Dan Feldman Roi Poranne 28 8 0 08 Mar 2022
Introduction to Coresets: Approximated Mean Alaa Maalouf Ibrahim Jubran Dan Feldman 24 6 0 04 Nov 2021
Generalized Kernel Thinning Raaz Dwivedi Lester W. Mackey 36 29 0 04 Oct 2021
Optimal Coreset for Gaussian Kernel Density Estimation W. Tai 19 9 0 15 Jul 2020
Understanding collections of related datasets using dependent MMD coresets Sinead Williamson Jette Henderson 11 5 0 24 Jun 2020