1.5k citations · 2.5k across the 10 of their papers we have counts for
3 papers · 1 filter
Low-rank extended Kalman filtering for online learning of neural networks from streaming data
Peter G. Chang, Gerardo Durán-Martín, Alexander Y Shestopaloff +2
We propose an efficient online approximate Bayesian inference algorithm for estimating the parameters of a nonlinear function from a potentially non-stationary data stream. The met…
Group Sparse Priors for Covariance Estimation
Benjamin Marlin, Mark Schmidt, Kevin Murphy
Recently it has become popular to learn sparse Gaussian graphical models (GGMs) by imposing l1 or group l1,2 penalties on the elements of the precision matrix. Thispenalized likeli…
Modeling Discrete Interventional Data using Directed Cyclic Graphical Models
Mark Schmidt, Kevin Murphy
We outline a representation for discrete multivariate distributions in terms of interventional potential functions that are globally normalized. This representation can be used to…