Co-occurring keywords · papers mentioning both
Papers
Learning Auto-regressive Models from Sequence and Non-sequence Data
NeurIPS 2011
Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing
JMLR 2010
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty
NeurIPS 2010
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
NeurIPS 2008
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
JMLR 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE
NeurIPS 2008
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes
NeurIPS 2007
Analytical Characterization of the Accuracy of SLAM without Absolute Orientation Measurements
RSS 2006
Learning Coordinate Covariances via Gradients
JMLR 2006