Co-occurring keywords · papers mentioning both
Papers
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices
UAI 2020
Scalable Gaussian Process Regression Networks
IJCAI 2020
Learning Neural Networks with Adaptive Regularization
NeurIPS 2019
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation
NeurIPS 2019
Scalable High-Order Gaussian Process Regression
AISTATS 2019
End-to-End Deep Kronecker-Product Matching for Person Re-Identification
CVPR 2018
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)
ICML 2018
Structured Gaussian Processes with Twin Multiple Kernel Learning
ACML 2018
Kronecker Determinantal Point Processes
NeurIPS 2016
Fast Orthogonal Projection Based on Kronecker Product
ICCV 2015
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm
NeurIPS 2015
Non-convex Statistical Optimization for Sparse Tensor Graphical Model
NeurIPS 2015
Automatic Kronecker Product Model Based Detection of Repeated Patterns in 2D Urban Images
ICCV 2013
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
NeurIPS 2013
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
AISTATS 2012
Efficient inference in matrix-variate Gaussian models with \iid observation noise
NeurIPS 2011
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty
NeurIPS 2010