Papers
Infinite Latent SVM for Classification and Multi-task Learning
Jun Zhu, Ning Chen, Eric P. Xing
A Global Structural EM Algorithm for a Model of Cancer Progression
Ali Tofigh, Erik Sj̦lund, Mattias H̦glund et al.
The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning
Marius Kloft, Gilles Blanchard
Learning large-margin halfspaces with more malicious noise
Phil Long, Rocco Servedio
Higher-Order Correlation Clustering for Image Segmentation
Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli et al.
Semantic Labeling of 3D Point Clouds for Indoor Scenes
Hema S. Koppula, Abhishek Anand, Thorsten Joachims et al.
A Reinforcement Learning Theory for Homeostatic Regulation
Mehdi Keramati, Boris S. Gutkin
Selecting the State-Representation in Reinforcement Learning
Odalric-ambrym Maillard, Daniil Ryabko, Rémi Munos
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices
Xianxing Zhang, Lawrence Carin, David B. Dunson
Structured Learning for Cell Tracking
Xinghua Lou, Fred A. Hamprecht
Learning to Agglomerate Superpixel Hierarchies
Viren Jain, Srinivas C. Turaga, K Briggman et al.
Co-Training for Domain Adaptation
Minmin Chen, Kilian Q. Weinberger, John Blitzer
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt, Nicolas L. Roux, Francis R. Bach
Information Rates and Optimal Decoding in Large Neural Populations
Kamiar R. Rad, Liam Paninski
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators
Dominique C. Perrault-joncas, Marina Meila
Expressive Power and Approximation Errors of Restricted Boltzmann Machines
Guido F. Montufar, Johannes Rauh, Nihat Ay
Shallow vs. Deep Sum-Product Networks
Olivier Delalleau, Yoshua Bengio
Efficient anomaly detection using bipartite k-NN graphs
Kumar Sricharan, Alfred O. Hero
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
Mohammad S. Sorower, Janardhan R. Doppa, Walker Orr et al.
Boosting with Maximum Adaptive Sampling
Charles Dubout, Francois Fleuret
t-divergence Based Approximate Inference
Nan Ding, Yuan Qi, S.v.n. Vishwanathan
See the Tree Through the Lines: The Shazoo Algorithm
Fabio Vitale, Nicolò Cesa-bianchi, Claudio Gentile et al.
The Fast Convergence of Boosting
Matus J. Telgarsky
Online Submodular Set Cover, Ranking, and Repeated Active Learning
Andrew Guillory, Jeff A. Bilmes
Finite Time Analysis of Stratified Sampling for Monte Carlo
Alexandra Carpentier, Rémi Munos