The workshop will be held on Friday Dec 7th in Tahoe B, Harrahs Special Events Center 2nd Floor

7:30 - 7:45	Overview by Organizers
7:45 - 8:15	Invited Talk - Sham Kakade, Microsoft Research - The Tensor Structure in Latent Variable Models
8:15 - 8:45	Invited Talk - Geoff Gordon, Carnegie Mellon
8:45 - 9:30	Coffee Break (and set up posters)
9:30 - 10:00	Invited Talk - Ariadna Quattoni, LSI/UPC - An Automata Theory Perspective on Spectral Learning: Hankel Matrix Factorizations
10:00 - 10:30	Invited Talk - Ivan Oseledets, Institute of Numerical Mathematics Numerical tensor methods for high-dimensional problems
10:30 - 15:30	Break
15:30-16:00	Invited Talk - Anima Anandkumar, UC Irvine - Tensor Power Method for Learning Latent Variable Models
16:00 - 16:30	Poster Spotlights
16:30 - 17:00	Poster Session
17:00 - 17:30	Coffee Break (and posters)
17:30 - 18:00	Invited Talk - Michael Collins, Columbia - Spectral Learning of Latent-Variable PCFGs
18:00 - 18:30	Open Discussion on Current Challenges and Future Directions

Posters

• Byron Boots and Geoffrey J. Gordon. A Spectral Learning Approach to Range-Only SLAM .
• Byron Boots and Arthur Gretton, Geoffrey J. Gordon. Hilbert Space Embeddings of PSRs .
• Y. Cem Subakan, Oya Celiktutan, A. Taylan Cemgil, and Bulent Sankur. Spectral Learning of Infinite Mixture of Hidden Markov Models for Human Action Recognition .
• Mariya Ishteva, Haesun Park, and Le Song. Unfolding Latent Tree Structures using 4th Order Tensors.
• Ben London, Theodoros Rekatsinas, Bert Huang, and Lise Getoor. Multi-relational Weighted Tensor Decomposition.