GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysisby Florian HeinrichsFirst submitted…
Sparse PCA with False Discovery Rate Controlled Variable Selectionby Jasin Machkour, Arnaud Breloy, Michael Muma,…
Fun with Flags: Robust Principal Directions via Flag Manifoldsby Nathan Mankovich, Gustau Camps-Valls, Tolga BirdalFirst…
Learning-Augmented K-Means Clustering Using Dimensional Reductionby Issam K.O Jabari, Shofiyah, Pradiptya Kahvi S, Novi Nur…
Sharp Analysis of Power Iteration for Tensor PCAby Yuchen Wu, Kangjie ZhouFirst submitted to arxiv…
Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effectby Dehua Peng, Zhipeng Gui,…
Transformer Multivariate Forecasting: Less is More?by Jingjing Xu, Caesar Wu, Yuan-Fang Li, Pascal BouvryFirst submitted…