Papers
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning
Chunhua Shen, Alan Welsh, Lei Wang
Sequential effects: Superstition or rational behavior?
Angela J. Yu, Jonathan D. Cohen
Bayesian Exponential Family PCA
Shakir Mohamed, Zoubin Ghahramani, Katherine A. Heller
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
Sham M. Kakade, Karthik Sridharan, Ambuj Tewari
An Online Algorithm for Maximizing Submodular Functions
Matthew Streeter, Daniel Golovin
Efficient Sampling for Gaussian Process Inference using Control Variables
Neil D. Lawrence, Magnus Rattray, Michalis K. Titsias
Learning Hybrid Models for Image Annotation with Partially Labeled Data
Xuming He, Richard S. Zemel
MAS: a multiplicative approximation scheme for probabilistic inference
Ydo Wexler, Christopher Meek
Multi-Level Active Prediction of Useful Image Annotations for Recognition
Sudheendra Vijayanarasimhan, Kristen Grauman
Gates
Tom Minka, John Winn
On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor
Christoph Kolodziejski, Bernd Porr, Minija Tamosiunaite et al.
Algorithms for Infinitely Many-Armed Bandits
Yizao Wang, Jean-yves Audibert, Rémi Munos
Particle Filter-based Policy Gradient in POMDPs
Pierre-arnaud Coquelin, Romain Deguest, Rémi Munos
Generative versus discriminative training of RBMs for classification of fMRI images
Tanya Schmah, Geoffrey E. Hinton, Steven L. Small et al.
Support Vector Machines with a Reject Option
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet et al.
ICA based on a Smooth Estimation of the Differential Entropy
Lev Faivishevsky, Jacob Goldberger
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method
Dongryeol Lee, Alexander G. Gray
Adaptive Martingale Boosting
Phil Long, Rocco Servedio
An Homotopy Algorithm for the Lasso with Online Observations
Pierre Garrigues, Laurent E. Ghaoui
A mixture model for the evolution of gene expression in non-homogeneous datasets
Gerald Quon, Yee W. Teh, Esther Chan et al.
Integrating Locally Learned Causal Structures with Overlapping Variables
David Danks, Clark Glymour, Robert E. Tillman
Cyclizing Clusters via Zeta Function of a Graph
Deli Zhao, Xiaoou Tang
The Gaussian Process Density Sampler
Iain Murray, David MacKay, Ryan P. Adams
Characterizing response behavior in multisensory perception with conflicting cues
Rama Natarajan, Iain Murray, Ladan Shams et al.
A Massively Parallel Digital Learning Processor
Hans P. Graf, Srihari Cadambi, Venkata Jakkula et al.