• 3/08: Ben Marlin completed his PhD, "Missing data problems in machine learning." [Abstract] [PDF]. He won a Killam Postdoctoral Research Fellowship, and will be working with Kevin Murphy at UBC in September.
• 12/07: Xuming He completed his PhD, "Learning structured prediction models for image labeling." He is now a postdoc working with Alan Yuille at UCLA.

• Flexible priors for exemplar-based clustering, with Danny Tarlow and Brendan Frey. UAI 2008: The 24th Conference on Uncertainty in Artificial Intelligence
• Latent topic random fields: Learning using a taxonomy of labels, with Xuming He. CVPR-2008: IEEE Conference on Computer Vision and Pattern Recognition
• Learning stick-figure models using nonparametric Bayesian priors over trees, with Ted Meeds, David Ross, and Sam Roweis. CVPR-2008: IEEE Conference on Computer Vision and Pattern Recognition
• Encoding and decoding spikes for dynamic stimuli, with Rama Natarajan, Quentin Huys, and Peter Dayan. Neural Computation. Accepted for publication.
• Learning flexible features for conditional random fields, with Liam Stewart and Xuming He. IEEE Transactions on Pattern Analysis and Machine Intelligence. Accepted for publication.
• Collaborative filtering and the missing at random assumption, with Ben Marlin, Sam Roweis, and Malcolm Slaney, UAI 2007: The 23rd Conference on Uncertainty in Artificial Intelligence.
• Learning articulated skeletons from motion, with David Ross and Danny Tarlow, Workshop on Dynamical Vision at ICCV, 2007.

Affiliations

• Toronto Learning Group

• University of Toronto Artificial Intelligence Group

• University of Toronto Computer Science Department

• University of Toronto

• Center for Vision Research, York University

• Canadian Institute for Advanced Research

• University of Arizona, Department of Psychology

• University of Arizona, Department of Computer Science

[Papers]

[Students]

[Research]

[Teaching]

[Bio]