Papers
Online Submodular Minimization
Elad Hazan, Satyen Kale
Local and Global Scaling Reduce Hubs in Space
Dominik Schnitzer, Arthur Flexer, Markus Schedl et al.
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss
José Hernández-Orallo, Peter Flach, Cèsar Ferri
Multi-task Regression using Minimal Penalties
Matthieu Solnon, Sylvain Arlot, Francis Bach
Linear Regression With Random Projections
Odalric-Ambrym Maillard, Rémi Munos
Coherence Functions with Applications in Large-Margin Classification Methods
Zhihua Zhang, Dehua Liu, Guang Dai et al.
PREA: Personalized Recommendation Algorithms Toolkit
Joonseok Lee, Mingxuan Sun, Guy Lebanon
Selective Sampling and Active Learning from Single and Multiple Teachers
Ofer Dekel, Claudio Gentile, Karthik Sridharan
Static Prediction Games for Adversarial Learning Problems
Michael Brückner, Christian Kanzow, Tobias Scheffer
Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs
Sunita Nayak, Kester Duncan, Sudeep Sarkar et al.
Nonparametric Guidance of Autoencoder Representations using Label Information
Jasper Snoek, Ryan P. Adams, Hugo Larochelle
Robust Kernel Density Estimation
JooSeuk Kim, Clayton D. Scott
Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints
Mehrdad Mahdavi, Rong Jin, Tianbao Yang
On the Convergence Rate of -Norm Multiple Kernel Learning
Marius Kloft, Gilles Blanchard
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Alain Hauser, Peter Bühlmann
Multi-Target Regression with Rule Ensembles
Timo Aho, Bernard Ženko, Sašo Džeroski et al.
A Local Spectral Method for Graphs: With Applications to Improving Graph Partitions and Exploring Data Graphs Locally
Michael W. Mahoney, Lorenzo Orecchia, Nisheeth K. Vishnoi
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion
Animashree Anandkumar, Vincent Y.F. Tan, Furong Huang et al.
Pairwise Support Vector Machines and their Application to Large Scale Problems
Carl Brunner, Andreas Fischer, Klaus Luig et al.
MedLDA: Maximum Margin Supervised Topic Models
Jun Zhu, Amr Ahmed, Eric P. Xing
Sign Language Recognition using Sub-Units
Helen Cooper, Eng-Jon Ong, Nicolas Pugeault et al.
An Introduction to Artificial Prediction Markets for Classification
Adrian Barbu, Nathan Lay
DEAP: Evolutionary Algorithms Made Easy
Félix-Antoine Fortin, François-Michel De Rainville, Marc-André Gardner et al.
On the Necessity of Irrelevant Variables
David P. Helmbold, Philip M. Long