- Unsupervised Learning with Non-Ignorable Missing Data Benjamin M. Marlin, Sam T. Roweis, Richard S. Zemel
- Sparse Gaussian Graphical Models with Unknown Block Structure Benjamin M. Marlin bmarlin@cs.ubc.ca
- Group Sparse Priors for Covariance Estimation Benjamin M. Marlin, Mark Schmidt, and Kevin P. Murphy
- Collaborative Prediction and Ranking with Non-Random Missing Data
- Inductive Principles for Restricted Boltzmann Machine Learning Benjamin M. Marlin, Kevin Swersky, Bo Chen and Nando de Freitas
- The Multiple Multiplicative Factor Model For Collaborative Filtering
- Variational Bounds for Mixed-Data Factor Analysis Mohammad Emtiyaz Khan
- Collaborative Prediction and Ranking with Non-Random Missing Data
- Inductive Principles for Restricted Boltzmann Machine Learning Benjamin M. Marlin, Kevin Swersky, Bo Chen and Nando de Freitas
- Constructing Convex 3-Polytopes from Two Triangulations of a Polygon
- Group Sparse Priors for Covariance Estimation Benjamin M. Marlin, Mark Schmidt, and Kevin P. Murphy
- Missing Data Problems in Machine Learning Benjamin M. Marlin
- University of Toronto. Department of Computer Science. Toronto, Ontario, Canada
- Mathematical Theory of Cortical Microcircuits
- Missing Data Problems in Machine Learning Benjamin Marlin
- Sparse Gaussian Graphical Models with Unknown Block Structure Benjamin M. Marlin and Kevin P. Murphy
- Intelligent Interfaces Artificial Intelligence Meets Human Computer Interaction
- Variational Bounds for Mixed-Data Factor Analysis Mohammad Emtiyaz Khan1
