R E S E A R C H

Theses

PhD Thesis: Missing Data Problems in Machine Learning. 2008. [Abstract] [Thesis PDF] [Intro Slides PDF] [Complete Slides PDF]
Master's Thesis: Collaborative Filtering: A Machine Learning Perspective. 2004. [Abstract] [PDF][PDF Single Space]

Inductive Principles, RBMs and Deep Learning

Bo Chen, Jo-Anne Ting, Benjamin M. Marlin and Nando de Freitas. Deep Learning of Invariant Spatio-Temporal Features from Video. In Proceedings of the Workshop on Deep Learning and Unsupervised Feature Learning at the 24th Annual Conference on Neural Information Processing Systems, 2010.
Benjamin M. Marlin, Kevin Swersky, Bo Chen and Nando de Freitas. Inductive Principles for Restricted Boltzmann Machine Learning. Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics. 2010. [Paper PDF] [Poster PDF] [Slides PDF] [Demo] [Data]
Kevin Swersky, Bo Chen, Benjamin Marlin and Nando de Freitas. A Tutorial on Stochastic Approximation Algorithms for Training Restricted Boltzmann Machines and Deep Belief Nets. Information Theory and Applications Workshop (ITA). 2010. [Paper PDF]
Bo Chen, Kevin Swersky, Benjamin Marlin and Nando de Freitas. Sparsity Priors and Boosting for Learning Localized Distributed Feature Representations. Technical Report TR-2010-04. University of British Columbia, Department of Computer Science. [Paper PDF]

Structure, Sparsity, and (Latent) Gaussian Graphical Models

[Oct 17, 2010] Mohammad Emtiyaz Khan, Benjamin M. Marlin, Guillaume Bouchard and Kevin Murphy. Variational Bounds for Mixed-Data Factor Analysis. In Proceedings of the 24th Annual Conference on Neural Information Processing Systems, 2010. [Paper PDF] [Poster PDF] [Code]
Baback Moghaddam, Benjamin M. Marlin, Emtiyaz Khan, Kevin Murphy. Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models. Proceedings of the Neural Information Processing Systems Conference (NIPS). 2009. [Paper PDF] [Poster PDF]
Benjamin M. Marlin, Mark Schmidt and Kevin P. Murphy. Group Sparse Priors for Covariance Estimation. Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence. 2009. [Paper PDF] [Poster PDF]
Benjamin M. Marlin and Kevin P. Murphy. Sparse Gaussian Graphical Models with Unknown Block Structure. Proceedings of the 26th International Conference on Machine Learning. 2009. [Paper PDF] [Slides PDF] [Poster PDF]

Collaborative Filtering with Non-Random Missing Data

Benjamin M. Marlin and Richard Zemel. Collaborative Prediction and Ranking with Non-Random Missing Data. Proceedings of the 3rd ACM Conference on Recommender Systems. 2009. Winner of best technical paper award. [Paper PDF] [Slides PDF].
Benjamin M. Marlin, Richard S. Zemel, Sam Roweis, and Malcolm Slaney. Collaborative Filtering and the Missing at Random Assumption. Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence (UAI2007). [Abstract] [Paper PDF]
Benjamin Marlin, Richard S. Zemel, and Sam T. Roweis. Unsupervised Learning with Non-ignorable Missing Data. Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS 2005). [Abstract] [Paper PDF]

Collaborative Filtering

Benjamin Marlin and Richard S. Zemel. The Multiple Multiplicative Factor Model For Collaborative Filtering. In Proc. of the The Twenty-First International Conference on Machine Learning (ICML-2004). pp 576-583. [Abstract] [Paper PDF] [Poster PPT] [Poster PDF]
Benjamin Marlin. Modeling User Rating Profiles for Collaborative Filtering. In Proc. of the 17th Annual Conference on Neural Information Processing Systems (NIPS-2003). [PDF] [Poster PPT]
Craig Boutilier, Richard S. Zemel and Benjamin Marlin. Active Collaborative Filtering. In Proc. of the 19th Conference on Uncertainty in Artificial Intelligence (UAI-2003). [PDF]
Active Collaborative Filtering. Demo at Precarn IRIS Conference on Intelligent Systems (IS2003). Halifax, Nova Scotia. June 2003. [Slides PPT]

Computational Geometry

Benjamin Marlin and Godfried Toussaint. Constructing Convex 3-Polytopes from Two Triangulations of a Polygon. Computational Geometry: Theory and Applications. Volume 28, Issue 1, May 2004, Pages 41-47. [ScienceDirect]
Benjamin Marlin and Godfried Toussaint. Constructing Convex 3-Polytopes from Two Triangulations of a Polygon. Technical Report. School of Computer Science, McGill University, Montreal, Canada, December 2003, SOCS-03.12. [PDF]
Benjamin Marlin and Godfried Toussaint. Constructing Convex 3-Polytopes from Two Triangulations of a Polygon. In Proc. of the 14th annual Canadian Conference on Computational Geometry (CCCG-2002). [Paper PS] [Slides PPT]