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

Time		Speaker	Title	Slides	Video
07:30--08:20		Lieven Vandenberghe	Invited Talk: Chordal sparsity in semidefinite programming and machine learning	[Slides]
08:20--08:40		S. D. Ahipasaoglu	A Pathwise Algorithm for Covariance Selection [.pdf]	[Slides]
08:40--09:00		Rodolphe Jenatton	Active Set Algorithm for Structured Sparsity-Inducing Norms [.pdf]	[Slides]
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]
16:40--17:00		Bharath Sriperumbudur	On the Convergence of the Convex-Concave procedure. [.pdf]	[Slides]
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

Updates

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

Poster Spotlights

• Large Margin Classification with the Progressive Hedging Algorithm.  Boris Defourny
• Bandit-Aided Boosting.  Robert Busa-Fekete
• Mixed-Integer Support Vector Machine.   Wei Guan
• Sampling-based optimization with mixtures.  Rémi Bardenet
• Variable Selection and Grouping with Multiple Graph Priors.  Marco Signoretto
• Feature Selection as a one-player game.  Romaric Gaudel
• A D.C. Programming Approach to the Sparse Generalized Eigenvalue Problem.  Bharath Sriperumbudur