Papers
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang et al.
Characterization, Stability and Convergence of Hierarchical Clustering Methods
Gunnar Carlsson, Facundo Mémoli
Consistent Nonparametric Tests of Independence
Arthur Gretton, László Györfi
Learning Translation Invariant Kernels for Classification
Kamaledin Ghiasi-Shirazi, Reza Safabakhsh, Mostafa Shamsi
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels
Pinar Donmez, Guy Lebanon, Krishnakumar Balasubramanian
Learning From Crowds
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao et al.
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation
Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov
Graph Kernels
S.V.N. Vishwanathan, Nicol N. Schraudolph, Risi Kondor et al.
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
Jin Yu, S.V.N. Vishwanathan, Simon Günter et al.
SFO: A Toolbox for Submodular Function Optimization
Andreas Krause
Continuous Time Bayesian Network Reasoning and Learning Engine
Christian R. Shelton, Yu Fan, William Lam et al.
Large Scale Online Learning of Image Similarity Through Ranking
Gal Chechik, Varun Sharma, Uri Shalit et al.
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwright
Kronecker Graphs: An Approach to Modeling Networks
Jure Leskovec, Deepayan Chakrabarti, Jon Kleinberg et al.
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
Gideon S. Mann, Andrew McCallum
On Spectral Learning
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
On Learning with Integral Operators
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
Image Denoising with Kernels Based on Natural Image Relations
Valero Laparra, Juan Gutiérrez, Gustavo Camps-Valls et al.
A Streaming Parallel Decision Tree Algorithm
Yael Ben-Haim, Elad Tom-Tov
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models
Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang et al.
Stability Bounds for Stationary φ-mixing and β-mixing Processes
Mehryar Mohri, Afshin Rostamizadeh
Maximum Relative Margin and Data-Dependent Regularization
Pannagadatta K. Shivaswamy, Tony Jebara
PyBrain
Tom Schaul, Justin Bayer, Daan Wierstra et al.