| 7:30 am |
Opening Remarks Michael Mahoney |
| 7:55 am |
Greedy Nystrom Approximation Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel |
| 8:20 am |
Sublinear Optimization for Machine Learning, and its Relatives Ken Clarkson (Invited Talk) |
| 9:00 am | Poster Session I and Coffee Break |
| 9:40 am |
Low-rank Methods for Learning Quantum States Stephen Becker, Brielin Brown, Jens Eisert, Steve Flammia, David Gross, Yi-Kai Liu |
| 10:05 am |
Online Learning in the Manifold of Low-Rank Matrices Uri Shalit, Daphna Weinshall, Gal Chechik |
| 3:30 pm |
Randomized Algorithms for Low-Rank Approximations and Data Applications Petros Drineas (Invited Talk) |
| 4:10 pm |
Normalized Power Iterations for the Computation of SVD Per-Gunnar Martinsson, Arthur Szlam, Mark Tygert |
| 4:35 pm |
Spotlight Talks |
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Column Subset Selection with Missing Data Laura Balzano, Robert Nowak, Waheed U. Bajwa |
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Latent Factor Topic Models with Rank-Reducing Beta Process Priors John Paisley, David Blei |
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Large Scale GPU Based Inference for the Infinite Relational Model Toke Jansen Hansen, Morten Morup, Lars Kai Hansen |
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Grappling with Gigantic Matrices: Fast Approximations based on Distance Geometry Christian Thurau, Kristian Kersting, Christian Bauckhage, Novi Quadrianto |
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Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise Sahand Negahban, Martin J. Wainwright |
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| 5:00 pm | Poster Session II and Coffee Break |
| 5:50 pm |
Some Recent Advances in the Theory of Low-rank Modeling Emmanuel Candes (Invited Talk) |