Co-occurring keywords · papers mentioning both
Papers
Discrepancy Minimization in Input-Sparsity Time
ICML 2025
Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel
ICML 2025
An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization
AISTATS 2023
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
NeurIPS 2021
Data-Adaptive Metric Learning with Scale Alignment
AAAI 2019
Semi-Supervised Feature Selection with Adaptive Discriminant Analysis
AAAI 2019
Fried Binary Embedding for High-Dimensional Visual Features
CVPR 2017
Semi-supervised Feature Selection via Rescaled Linear Regression
IJCAI 2017
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities
ACML 2015