Papers
Compositionality of optimal control laws
Emanuel Todorov
Fast Image Deconvolution using Hyper-Laplacian Priors
Dilip Krishnan, Rob Fergus
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
Chong Wang, David M. Blei
Group Sparse Coding
Samy Bengio, Fernando Pereira, Yoram Singer et al.
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
Hamid R. Maei, Csaba Szepesvári, Shalabh Bhatnagar et al.
Modeling Social Annotation Data with Content Relevance using a Topic Model
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
Individuation, Identification and Object Discovery
Charles Kemp, Alan Jern, Fei Xu
Bootstrapping from Game Tree Search
Joel Veness, David Silver, Alan Blair et al.
The 'tree-dependent components' of natural scenes are edge filters
Daniel Zoran, Yair Weiss
Sparse Metric Learning via Smooth Optimization
Yiming Ying, Kaizhu Huang, Colin Campbell
Sparse and Locally Constant Gaussian Graphical Models
Jean Honorio, Dimitris Samaras, Nikos Paragios et al.
Bayesian Belief Polarization
Alan Jern, Kai-min Chang, Charles Kemp
Fast, smooth and adaptive regression in metric spaces
Samory Kpotufe
Replicated Softmax: an Undirected Topic Model
Geoffrey E. Hinton, Ruslan Salakhutdinov
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection
Roy Anati, Kostas Daniilidis
Ranking Measures and Loss Functions in Learning to Rank
Wei Chen, Tie-yan Liu, Yanyan Lan et al.
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering
Lei Wu, Rong Jin, Steven C. Hoi et al.
A Parameter-free Hedging Algorithm
Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
Canonical Time Warping for Alignment of Human Behavior
Feng Zhou, Fernando Torre
Distribution Matching for Transduction
Novi Quadrianto, James Petterson, Alex J. Smola
No evidence for active sparsification in the visual cortex
Pietro Berkes, Ben White, Jozsef Fiser
Nonlinear Learning using Local Coordinate Coding
Kai Yu, Tong Zhang, Yihong Gong
Submanifold density estimation
Arkadas Ozakin, Alexander G. Gray
On Invariance in Hierarchical Models
Jake Bouvrie, Lorenzo Rosasco, Tomaso Poggio