OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning

Schedule: 12th December, 2009. PDF VERSION OF SCHEDULE

Time    Speaker Title Slides Video
07:30--08:20    Lieven Vandenberghe
Invited Talk: Chordal sparsity in semidefinite programming and machine learning [Slides] Video
08:20--08:40    S. D. Ahipasaoglu A Pathwise Algorithm for Covariance Selection [.pdf] [Slides] Video
08:40--09:00    Rodolphe Jenatton Active Set Algorithm for Structured Sparsity-Inducing Norms [.pdf] [Slides] Video
09:00--09:25    COFFEE BREAK
09:25--10:15    Arkadi Nemirovski Invited Talk:  On recent trends in extremely large-scale convex optimization. [Slides]
10:15--10:30    Poster Spotlights
10:30--15:30    Long Break; Poster Session Begins
15:30--16:20    Nathan Srebro Invited Talk: From local steps to global convex optimization and back [Slides] [Video]
16:20--16:40    Bertrand Cornélusse  Tree based ensemble models regularization by convex optimization. [.pdf] [Slides] Video
16:40--17:00    Bharath Sriperumbudur  On the Convergence of the Convex-Concave procedure. [.pdf] [Slides] Video
17:00--17:20    COFFEE BREAK
17:20--17:40    Katya Scheinberg SINCO - an Efficient Greedy Method for Learning Sparse INverse COvariance Matrix. [.pdf] [Slides]
17:40--18:00    Ryota Tomioka Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparse Learning. [.pdf] [Slides]
18:00--19:00    Poster Session Continues


Please don't forget to Register
Workshop Location: Hilton, Sutcliffe B
Workshop Date: 12.12.2009

Poster Spotlights


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