On Universal Features for High-Dimensional Learning and Inference

20 November 2019

Papers citing "On Universal Features for High-Dimensional Learning and Inference"

6 / 6 papers shown

Title
Separable Computation of Information Measures Xiangxiang Xu Lizhong Zheng 27 0 0 28 Jan 2025
Kernel Subspace and Feature Extraction Xiangxiang Xu Lizhong Zheng 18 0 0 04 Jan 2023
An Information-Theoretic Approach to Transferability in Task Transfer Learning Yajie Bao Yongni Li Shao-Lun Huang Lin Zhang Lizhong Zheng Amir Zamir Leonidas J. Guibas 15 117 0 20 Dec 2022
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks Nan Ding Xi Chen Tomer Levinboim Soravit Changpinyo Radu Soricut 14 26 0 10 Mar 2022
Gradient-Based Empirical Risk Minimization using Local Polynomial Regression Ali Jadbabaie A. Makur Devavrat Shah 18 6 0 04 Nov 2020
Convex Sparse Matrix Factorizations Francis R. Bach Julien Mairal Jean Ponce 127 143 0 10 Dec 2008