Skip to content
conftrace_

matrix regularization

8 papers

Explore in graph

Co-occurring keywords · papers mentioning both

matrix norms (2) multiple kernel learning (2) gradient descent (2) implicit bia (1) linear network (1) group equivariance (1) parameterized complexity (1) multiplicative update (1) shrinkage estimation (1) eigenvalue bound (1)

Papers

Implicit Bias of Linear Equivariant Networks ICML 2022 Exponentiated Gradient Meets Gradient Descent ALT 2020 Analysis of spectral clustering algorithms for community detection: the general bipartite setting JMLR 2019 Regularized Weighted Low Rank Approximation NeurIPS 2019 A Unifying View of Representer Theorems ICML 2014 Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NeurIPS 2013 Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging NeurIPS 2012 Regularization Techniques for Learning with Matrices JMLR 2012