Discrepancy, Coresets, and Sketches in Machine Learning

11 June 2019

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

31 / 31 papers shown

Title
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances Brian B. Moser Arundhati S. Shanbhag Stanislav Frolov Federico Raue Joachim Folz Andreas Dengel 252 0 0 23 May 2025
FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain Rohan Deb Kiran Thekumparampil Kousha Kalantari Gaurush Hiranandani Shoham Sabach Branislav Kveton 52 0 0 20 May 2025
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 69 0 0 11 Apr 2025
Solving the Cold Start Problem on One's Own as an End User via Preference Transfer Ryoma Sato 103 0 0 18 Feb 2025
How to Train Data-Efficient LLMs Noveen Sachdeva Benjamin Coleman Wang-Cheng Kang Jianmo Ni Lichan Hong Ed H. Chi James Caverlee Julian McAuley D. Cheng 93 64 0 15 Feb 2024
No Dimensional Sampling Coresets for Classification M. Alishahi Jeff M. Phillips 114 2 0 07 Feb 2024
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic Nicolas Schreuder Ernesto De Vito Lorenzo Rosasco 70 5 0 22 Nov 2023
Sketching Multidimensional Time Series for Fast Discord Mining Chin-Chia Michael Yeh Yan Zheng Menghai Pan Huiyuan Chen Zhongfang Zhuang Junpeng Wang Liang Wang Wei Zhang Jeff M. Phillips Eamonn J. Keogh AI4TS 57 7 0 05 Nov 2023
Fast Approximation of Similarity Graphs with Kernel Density Estimation Peter Macgregor He Sun 76 4 0 21 Oct 2023
Farzi Data: Autoregressive Data Distillation Noveen Sachdeva Zexue He Wang-Cheng Kang Jianmo Ni D. Cheng Julian McAuley DD 88 4 0 15 Oct 2023
Stronger Coreset Bounds for Kernel Density Estimators via Chaining Rainie Bozzai T. Rothvoss 28 0 0 12 Oct 2023
Fast Private Kernel Density Estimation via Locality Sensitive Quantization Tal Wagner Yonatan Naamad Nina Mishra 45 8 0 04 Jul 2023
AutoCoreset: An Automatic Practical Coreset Construction Framework Alaa Maalouf M. Tukan Vladimir Braverman Daniela Rus CLL 58 3 0 19 May 2023
Leveraging Importance Weights in Subset Selection Gui Citovsky Giulia DeSalvo Sanjiv Kumar Srikumar Ramalingam Afshin Rostamizadeh Yunjuan Wang 73 4 0 28 Jan 2023
Sample Constrained Treatment Effect Estimation Raghavendra Addanki David Arbour Tung Mai Cameron Musco Anup B. Rao 49 7 0 12 Oct 2022
Learnware: Small Models Do Big Zhi Zhou Zhi-Hao Tan 69 26 0 07 Oct 2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning Chunhui Zhang Chao Huang Yijun Tian Qianlong Wen Z. Ouyang Youhuan Li Yanfang Ye Chuxu Zhang 66 8 0 01 Oct 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions M. Tukan Loay Mualem Alaa Maalouf 3DPC 78 23 0 18 Sep 2022
Obstacle Aware Sampling for Path Planning M. Tukan Alaa Maalouf Dan Feldman Roi Poranne 96 8 0 08 Mar 2022
Coresets for Data Discretization and Sine Wave Fitting Alaa Maalouf M. Tukan Eric Price Daniel Kane Dan Feldman 68 7 0 06 Mar 2022
Towards Optimal Lower Bounds for k-median and k-means Coresets Vincent Cohen-Addad Kasper Green Larsen David Saulpic Chris Schwiegelshohn 56 51 0 25 Feb 2022
Introduction to Coresets: Approximated Mean Alaa Maalouf Ibrahim Jubran Dan Feldman 57 6 0 04 Nov 2021
Generalized Kernel Thinning Raaz Dwivedi Lester W. Mackey 166 30 0 04 Oct 2021
Coresets for Classification -- Simplified and Strengthened Tung Mai Anup B. Rao Cameron Musco 86 35 0 08 Jun 2021
Kernel Thinning Raaz Dwivedi Lester W. Mackey 195 39 0 12 May 2021
A Statistical Perspective on Coreset Density Estimation Paxton Turner Jingbo Liu Philippe Rigollet 59 10 0 10 Nov 2020
Optimal Coreset for Gaussian Kernel Density Estimation W. Tai 49 9 0 15 Jul 2020
Understanding collections of related datasets using dependent MMD coresets Sinead Williamson Jette Henderson 40 5 0 24 Jun 2020
Coresets for Near-Convex Functions M. Tukan Alaa Maalouf Dan Feldman 90 43 0 09 Jun 2020
Sub-linear RACE Sketches for Approximate Kernel Density Estimation on Streaming Data Benjamin Coleman Anshumali Shrivastava 61 32 0 04 Dec 2019
Progressive Compressed Records: Taking a Byte out of Deep Learning Data Michael Kuchnik George Amvrosiadis Virginia Smith 75 9 0 01 Nov 2019