Scientific Program
Student Paper Contest
The Best Student Paper has been awarded to Antonio José Silveti-Falls for the paper untitled "Generalized Conditional Gradient with Augmented Lagrangian for Composite Optimization" (with C. Molinari and J. Fadili).
Other finalists were Quentin Bertrand, Yuexiang Zhai, Andrew McRae and Praneeth Narayanamurthy (see dedicated Student Sessions on Tuesday afternoon).
Slides of the plenary presentations
- Yuejie Chi, Carnegie Mellon University
Geometry and regularization in nonconvex low-rank estimation - Emilie Chouzenoux, University Paris-Est
Proximal approaches for matrix optimization problems - Mark Davenport, Georgia Institute of Technology
Subspaces and sparsity on the continuum - Monika Dörfler, University of Vienna
Pre-processing data for deep learning? The balance between discriminability and invariance - Pier Luigi Dragotti, Imperial College London
Timing is everything: sparse sampling based on time-encoding machines - Bhaskar Rao, UC San Diego
Sparse Bayesian learning: a beamforming and Toeplitz approximation perspective - Simon Thorpe, CNRS
Ultra-sparse representations in neural networks: biological Inspiration for artificial intelligence? - Lenka Zdeborova, CNRS
Are generative models the new sparsity?
Slides of the special talk
- Michael I. Jordan, UC Berkeley
Machine learning: dynamical, statistical and economic perspectives
Full program (with author/paper/session search)
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Program at-a-glance
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Detailed program (oral, plenaries, special talk)
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Poster sessions
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