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Papers
On the Privacy-preserving Generalized Eigenvalue Problem
ACML 2025
Generalized Eigenvalue Problems with Generative Priors
NeurIPS 2024
Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
ICLR 2024
Privacy-preserving Sparse Generalized Eigenvalue Problem
AISTATS 2023
Sparse GCA and Thresholded Gradient Descent
JMLR 2023
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
ICLR 2023
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality
AISTATS 2022
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem
AISTATS 2020
Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems
AISTATS 2020
Robust and Efficient Computation of Eigenvectors in a Generalized Spectral Method for Constrained Clustering
AISTATS 2017
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks
CVPR 2016
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer
ICCV 2015
Global Optimization Methods for Extended Fisher Discriminant Analysis
AISTATS 2014
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
JMLR 2008
On the Equivalence of Linear Dimensionality-Reducing Transformations
JMLR 2008
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis
JMLR 2007