| Wednesday, April 13 | ||
| 16:00 | Registration | |
| 18:00 | Dinner | |
| 19:00 | Oral Session 1 | |
| 19:00 | Overfitting is a Many Splendored Thing Rich Caruana |
[DjVu|PDF] |
| 19:20 | Linear discrimination beyond class separation Patrick Haffner |
[DjVu|PDF] |
| 19:40 | Learning Structured Embeddings of Knowledge Bases Antoine Bordes and Jason weston and Ronan Collobert and Yoshua Bengio |
[DjVu|PDF] |
| 20:00 | Break | |
| 20:20 | Deep Learning of Hierarchical Structure Chris Manning (Stanford) |
[DjVu|PDF] |
| 21:00 | Deep Convex Network: Architectures and Parallelizable Learning Li Deng and Dong Yu |
[DjVu|PDF] |
| 21:20 | Adjourn | |
| Thursday, April 14 | ||
| 08:00 | Breakfast | |
| 09:00 | Oral Session 2 | |
| 09:00 | Go With The Flow: A New Manifold Modeling and Learning Framework for Image Ensembles
Richard Baraniuk (Rice) |
[DjVu|PDF] |
| 09:40 | Discriminative Sparse Coding for Classification and Regression Nishant A. Mehta and Alexander G. Gray |
[DjVu|PDF] |
| 10:00 | Riemannian Metric Estimation and the Problem of Geometric Recovery Dominiaue Perrault-Joncas and Marina Meila |
[DjVu|PDF] |
| 10:20 | Break | |
| 10:40 | Convolution Networks with Stable Invariants Joan Bruna and Stéphane Mallat |
[DjVu|PDF] |
| 11:20 | Non-parametric Bayesian Dictionary Learning with Landmark-Dependent Hierarchical Beta Process Mingyuan Zhou and Hongxia Yang and Guillermo Sapiro and David Dunson and Lawrence Carin |
[DjVu|PDF] |
| 11:40 | Semiparametric Latent Variable Models for Guided Representation Jasper Snoek and Ryan Prescott Adams and Hugo Larochelle |
[DjVu|PDF] |
| 12:00 | Lunch (on your own) | |
| 18:00 | Dinner | |
| 19:30-22:00 | Poster Session A | |
| Friday, April 15 | ||
| 08:00 | Breakfast | |
| 09:00 | Oral Session 2 | |
| 09:00 | Learning Image Representations for Efficient Recognition of Novel Classes Alessandro Bergamo and Lorenzo Torresani |
[DjVu|PDF] |
| 09:20 | Metric learning by active crowd-sourcing Graham W. Taylor and Ian Spiro and Chris Bregler and Rob Fergus |
[DjVu|PDF] |
| 09:40 | Learning Matrix Decomposition Structures Bill Freeman (MIT) |
[DjVu|PDF] |
| 10:20 | Break | |
| 10:40 | NeuFlow: A Runtime Reconfigurable Dataflow Architecture for Vision Clement Farabet and Yann LeCun and Eugenio Culurciello |
[DjVu|PDF] |
| 11:00 | A Spike and Slab RBM Approach to Modeling Natural Images Aaron C. Courville and James Bergstra and Yoshua Bengio |
[DjVu|PDF] |
| 11:20 | Copula Bayesian Networks Gal Elidan |
[DjVu|PDF] |
| 11:40 | Learning Valuation Distributions from Strategic Buyers Chris.Dance and Onno.Zoeter |
[DjVu|PDF] |
| 12:00 | Lunch (on your own) | |
| 18:00 | Dinner | |
| 19:30-22:00 | Poster Session B | |
| Saturday, April 16 | ||
| 08:00 | Breakfast | |
| 09:00 | Oral Session 2 | |
| 09:00 | Domain adaptation with a nearest neighbor algorithm Ruth Urner, Shai Ben-David and Shai Shalev-Shwartz |
[DjVu|PDF] |
| 09:20 | Sum-Product Networks for Deep Learning Hoifung Poon and Pedro Domingos |
[DjVu|PDF] |
| 09:40 | Aggressive Learning for Contextual Bandits Alina Beygelzimer and Satyen Kale and Nikos Karampatziakis and John Langford and Lev Reyzin |
[DjVu|PDF] |
| 10:00 | Multi-armed Bandit Problems with History Pannagadatta Shivaswamy and Thorsten Joachims |
[DjVu|PDF] |
| 10:20 | Break | |
| 10:40 | Logarithmic-time multiclass prediction via metric embedding of classifiers Srinivas C. Turaga and H Sebastian Seung |
[DjVu|PDF] |
| 11:00 | Random Search for Hyper-Parameter Optimization James Bergstra and Yoshua Bengio |
[DjVu|PDF] |
| 11:20 | COMBREX: Breaking the Power Law Curse Using a Computational Bridge to Experiments Simon Kasif |
[DjVu|PDF] |
| 11:40 | Discovering Latent Structure in Clinical Databases Jesse Davis and Vitor Santos Costa and David Page and Peggy Peissig and Michael Caldwell |
[DjVu|PDF] |
| 12:00 | Lunch (on your own) | |
| 18:00 | Banquet | |
| 20:00 | Decision-Theoretic Models of Perception and Action Lawrence Maloney (NYU) |
[DjVu|PDF] |
| 20:40 | Learning image models using 'flobject analysis' Inmar E. Givoni and Patrick Li and Brendan J. Frey |
[DjVu|PDF] |