Papers
Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis
Kun Zhang, Laiwan Chan
On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix
Xing Sun, Andrew B. Nobel
Non-Parametric Modeling of Partially Ranked Data
Guy Lebanon, Yi Mao
Model Selection in Kernel Based Regression using the Influence Function
Michiel Debruyne, Mia Hubert, Johan A.K. Suykens
Learning to Select Features using their Properties
Eyal Krupka, Amir Navot, Naftali Tishby
Probabilistic Characterization of Random Decision Trees
Amit Dhurandhar, Alin Dobra
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
Manfred K. Warmuth, Dima Kuzmin
Finding Optimal Bayesian Network Given a Super-Structure
Eric Perrier, Seiya Imoto, Satoru Miyano
Forecasting Web Page Views: Methods and Observations
Jia Li, Andrew W. Moore
Ranking Individuals by Group Comparisons
Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng
A Moment Bound for Multi-hinge Classifiers
Bernadetta Tarigan, Sara A. van de Geer
HPB: A Model for Handling BN Nodes with High Cardinality Parents
Jorge Jambeiro Filho, Jacques Wainer
Gradient Tree Boosting for Training Conditional Random Fields
Thomas G. Dietterich, Guohua Hao, Adam Ashenfelter
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management
Abraham George, Warren B. Powell, Sanjeev R. Kulkarni
Approximations for Binary Gaussian Process Classification
Hannes Nickisch, Carl Edward Rasmussen
Consistency of Random Forests and Other Averaging Classifiers
Gérard Biau, Luc Devroye, Gábor Lugosi
Mixed Membership Stochastic Blockmodels
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg et al.
Complete Identification Methods for the Causal Hierarchy
Ilya Shpitser, Judea Pearl
Manifold Learning: The Price of Normalization
Yair Goldberg, Alon Zakai, Dan Kushnir et al.
On Relevant Dimensions in Kernel Feature Spaces
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller
LIBLINEAR: A Library for Large Linear Classification
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh et al.
Learning Balls of Strings from Edit Corrections
Leonor Becerra-Bonache, Colin de la Higuera, Jean-Christophe Janodet et al.
Classification with a Reject Option using a Hinge Loss
Peter L. Bartlett, Marten H. Wegkamp
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Michael Collins, Amir Globerson, Terry Koo et al.