Fast and Accurate Least-Mean-Squares Solvers

11 June 2019

Papers citing "Fast and Accurate Least-Mean-Squares Solvers"

17 / 17 papers shown

Title
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond Kyriakos Axiotis Vincent Cohen-Addad Monika Henzinger Sammy Jerome Vahab Mirrokni David Saulpic David P. Woodruff Michael Wunder 33 5 0 27 Feb 2024
Dataset Distillation Meets Provable Subset Selection M. Tukan Alaa Maalouf Margarita Osadchy DD 19 4 0 16 Jul 2023
AutoCoreset: An Automatic Practical Coreset Construction Framework Alaa Maalouf M. Tukan Vladimir Braverman Daniela Rus CLL 26 2 0 19 May 2023
Provable Data Subset Selection For Efficient Neural Network Training M. Tukan Samson Zhou Alaa Maalouf Daniela Rus Vladimir Braverman Dan Feldman MLT 23 9 0 09 Mar 2023
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions M. Tukan Loay Mualem Alaa Maalouf 3DPC 38 22 0 18 Sep 2022
An Empirical Evaluation of $k$ -Means Coresets Chris Schwiegelshohn Omar Ali Sheikh-Omar 19 11 0 03 Jul 2022
New Coresets for Projective Clustering and Applications M. Tukan Xuan Wu Samson Zhou Vladimir Braverman Dan Feldman 50 20 0 08 Mar 2022
Towards Optimal Lower Bounds for k-median and k-means Coresets Vincent Cohen-Addad Kasper Green Larsen David Saulpic Chris Schwiegelshohn 17 50 0 25 Feb 2022
A Novel Sequential Coreset Method for Gradient Descent Algorithms Jiawei Huang Ru Huang Wenjie Liu N. Freris Huihua Ding 11 16 0 05 Dec 2021
Coresets for Regressions with Panel Data Lingxiao Huang K. Sudhir Nisheeth K. Vishnoi 14 13 0 02 Nov 2020
Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously Karim Lounici Katia Méziani Benjamin Riu 14 1 0 11 Jun 2020
Coresets for Near-Convex Functions M. Tukan Alaa Maalouf Dan Feldman 13 42 0 09 Jun 2020
Chromatic Learning for Sparse Datasets Vladimir Feinberg Peter Bailis 6 0 0 06 Jun 2020
Revisiting the Approximate Carathéodory Problem via the Frank-Wolfe Algorithm Cyrille W. Combettes S. Pokutta 17 24 0 11 Nov 2019
Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction Method Artur Jordão M. Lie V. H. C. Melo William Robson Schwartz 8 3 0 05 Oct 2019
Tight Sensitivity Bounds For Smaller Coresets Alaa Maalouf Adiel Statman Dan Feldman 13 18 0 02 Jul 2019
Dimensionality Reduction via Regression in Hyperspectral Imagery Valero Laparra Jesús Malo Gustau Camps-Valls 30 42 0 31 Jan 2016