Papers
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.
QUIC-SVD: Fast SVD Using Cosine Trees
Michael P. Holmes, Jr. Isbell, Charles Lee et al.
On Bootstrapping the ROC Curve
Patrice Bertail, Stéphan J. Clémençcon, Nicolas Vayatis
Learning Transformational Invariants from Natural Movies
Charles Cadieu, Bruno A. Olshausen
Deep Learning with Kernel Regularization for Visual Recognition
Kai Yu, Wei Xu, Yihong Gong
The Infinite Hierarchical Factor Regression Model
Piyush Rai, Hal Daume
An improved estimator of Variance Explained in the presence of noise
Ralf M. Haefner, Bruce G. Cumming