NIPS Workshops, Whistler 2009
The Post-Conference Workshop Program covered a wide range of topics from Neuroscience to Machine Learning. For more workshop schedule information please consult the Workshop URL on the workshop's page.
Detailed information can be found at NIPS 2009 Workshops Homepage.
Click on the picture for the videos from 2009 NIPS Conference in Vancouver.
Machine Learning in Computational Biology
Clustering: Science or Art? Towards Principled Approaches
Probabilistic Approaches for Robotics and Control
Grammar Induction, Representation of Language and Language Learning
Learning from Multiple Sources with Applications to Robotics
Optimization for Machine Learning
Kernels for Multiple Outputs and Multi-task Learning: Frequentist and Bayesian Points of View
Approximate Learning of Large Scale Graphical Models: Theory and Applications
Transfer Learning for Structured Data
Large-Scale Machine Learning: Parallelism and Massive Datasets
Temporal Segmentation: Perspectives from Statistics, Machine Learning, and Signal Processing
Generative and Discriminative Learning Interface