| Tuesday, April 3 | ||
| 16:00 | Registration | |
| 18:00 | Dinner, Atrium Lounge | |
| 19:00 | Oral Session 1 | |
| 19:00 | Adaptive algorithms for Stratified Sampling Monte Carlo Alexandra Carpentier and Remi Munos |
[DjVu|PDF] |
| 19:20 | Annotation on the Cheap Sanjoy Dasgupta |
[DjVu|PDF] |
| 20:00 | Break | |
| 20:20 | A Binary Classification Framework for Two Stage Kernel Learning Abhishek Kumar and Alexandru Niculescu-Mizil and Koray Kavukcoglu and Hal Daume |
[DjVu|PDF] |
| 20:40 | Sparse Factor Analysis for Cognitive Tutoring Andrew E. Waters and Andrew Lan and Christoph Studer and Richard G. Baraniuk |
[DjVu|PDF] |
| 21:00 | Adjourn | |
| Wednesday, April 4 | ||
| 07:00 | Breakfast, Magpie | |
| 08:00 | Oral Session 2 | |
| 08:00 | The Reconfigurable Classifier Model of the Visual System Thomas M. Breuel |
[DjVu|PDF] |
| 08:20 | A Unified Framework for Unsupervised Learning Guille D. Canas and Tomaso Poggio and Lorenzo Rosasco |
[DjVu|PDF] |
| 08:40 | Fast Sparse Coding for Spatio-temporal Prediction Jonathan S. Yedidia |
[DjVu|PDF] |
| 09:20 | Break | |
| 09:40 | Learning Intermediate-Level Representations of Form and Motion from Natural Movies Charles F. Cadieu and Bruno A. Olshausen |
[DjVu|PDF] |
| 10:20 | On spatio-temporal feature learning Roland Memisevic |
[DjVu|PDF] |
| 10:40 | Intrinsic gradient networks: Highly recurrent neural networks with biologically plausible training Jason Tyler Rolfe and Matthew Cook and Yann LeCun |
[DjVu|PDF] |
| 11:00 | Large-Scale Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery Ian J. Goodfellow and Aaron Courvile and Yoshua Bengio |
[DjVu|PDF] |
| 11:20 | Lunch, Magpie | |
| 17:30 | Dinner, Atrium Lounge | |
| 19:00-22:00 | Poster Session A, Magpie | |
| Thursday, April 5 | ||
| 07:00 | Breakfast, Golden Cliff | |
| 08:00 | Oral Session 2 | |
| 08:00 | Compressive Phase Retrieval via Lifting Henrik Ohlsson and Allen Y. Yang and Roy Dong and S. Shankar Sastry |
[DjVu|PDF] |
| 08:20 | Marginalized Stacked Denoising Autoencoders Minmin Chen and Zhixiang (Eddie) Xu and Kilian Q. Weinberger and Fei Sha |
[DjVu|PDF] |
| 08:40 | Perception, Action and the Information Knot that Ties Them Stefano Soatto |
[DjVu|PDF] |
| 09:20 | Break | |
| 09:40 | More Break | |
| 10:00 | Fast approximations to structured sparse coding and applications to object classification Arthur Szlam and Karol Gregor and Yann LeCun |
[DjVu|PDF] |
| 10:20 | Sparse coding with stel dictionaries Jeroen Chua and Brendan Frey |
[DjVu|PDF] |
| 10:40 | Evolving Culture vs Local Minima Yoshua Bengio |
[DjVu|PDF] |
| 11:00 | Lunch, Golden Cliff | |
| 17:30 | Dinner, Golden Cliff | |
| 19:00-22:00 | Poster Session B, Magpie | |
| Friday, April 6 | ||
| 07:00 | Breakfast, Golden Cliff | |
| 08:00 | Oral Session 2 | |
| 08:00 | The Greedy Miser: Learning under Test-time Budgets Zhixiang (Eddie) Xu and Kilian Q. Weinberger and Olivier Chapelle |
[DjVu|PDF] |
| 08:20 | Experiments with SARSA Eric B Baum and Dennis Horte and Chick Markley |
[DjVu|PDF] |
| 08:40 | Q-Learning with a Multi-state Markov Decision Process Jiarong Jiang and Hal Daume III |
[DjVu|PDF] |
| 09:00 | The Benefits of Interaction for Learning Sequential Predictions Stephane Ross and J. Andrew Bagnell |
[DjVu|PDF] |
| 09:20 | Break | |
| 09:40 | Structure learning and the generalization capacity of algorithms Joachim M Buhmann |
[DjVu|PDF] |
| 10:00 | Image Retrieval with Multinomial Relevance Feedback Dorota Glowacka and John Shawe-Taylor |
[DjVu|PDF] |
| 10:20 | Extraction of Key Temporal Segments in Videos Megha Pandey and A.G.Amitha Perera and Anthony Hoogs |
[DjVu|PDF] |
| 10:40 | Spectral methods for estimating probabilistic language models Lyle Ungar and Paramaveer Dhillon and Jordan Rodu and Michael Collins and Dean Foster |
[DjVu|PDF] |
| 11:00 | Fighting the Tuberculosis Pandemic using Machine Learning Kristin P Bennett and the TB-Insight Team |
[DjVu|PDF] |
| 11:20 | Lunch, Golden Cliff | |
| 17:30 | Banquet, Golden Cliff | |
| 19:30 | After Dinner Talk Aaron Hertzman |
[DjVu|PDF] |