Papers
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets
Michael Hahsler, Sudheer Chelluboina, Kurt Hornik et al.
The Indian Buffet Process: An Introduction and Review
Thomas L. Griffiths, Zoubin Ghahramani
Theoretical Analysis of Bayesian Matrix Factorization
Shinichi Nakajima, Masashi Sugiyama
The Sample Complexity of Dictionary Learning
Daniel Vainsencher, Shie Mannor, Alfred M. Bruckstein
The Stationary Subspace Analysis Toolbox
Jan Saputra Müller, Paul von Bünau, Frank C. Meinecke et al.
Training SVMs Without Offset
Ingo Steinwart, Don Hush, Clint Scovel
Two Distributed-State Models For Generating High-Dimensional Time Series
Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis
Union Support Recovery in Multi-task Learning
Mladen Kolar, John Lafferty, Larry Wasserman
Universality, Characteristic Kernels and RKHS Embedding of Measures
Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R.G. Lanckriet
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels
Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon
Variable Sparsity Kernel Learning
Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya et al.
Waffles: A Machine Learning Toolkit
Michael Gashler
Weisfeiler-Lehman Graph Kernels
Nino Shervashidze, Pascal Schweitzer, Erik Jan van Leeuwen et al.
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification
Guo-Xun Yuan, Kai-Wei Chang, Cho-Jui Hsieh et al.
A Convergent Online Single Time Scale Actor Critic Algorithm
Dotan Di Castro, Ron Meir
A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression
Jianing Shi, Wotao Yin, Stanley Osher et al.
A Generalized Path Integral Control Approach to Reinforcement Learning
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
An Efficient Explanation of Individual Classifications using Game Theory
Erik Štrumbelj, Igor Kononenko
An Exponential Model for Infinite Rankings
Marina Meilă
An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data
Yufeng Ding, Jeffrey S. Simonoff
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation
Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Antti Honkela, Tapani Raiko, Mikael Kuusela et al.
Approximate Tree Kernels
Konrad Rieck, Tammo Krueger, Ulf Brefeld et al.