An Analysis of Single-Layer Networks in Unsupervised Feature Learning
Scalable Training of Mixture Models via Coresets
Online Robust PCA via Stochastic Optimization
Semiparametric Principal Component Analysis
Additive Gaussian Processes
Towards energy-aware scheduling in data centers using machine learning
The EM Algorithm for Mixtures of Factor Analyzers
Automatic early stopping using cross validation: quantifying the criteria

Parallel Coordinate Descent for L1-Regularized Loss Minimization
Efficient Algorithms for Minimizing Cross Validation Error
Learning Connections in Financial Time Series
Learning Bayesian Network Classifiers by Maximizing Conditional Likelihood
Parsing Natural Scenes and Natural Language with Recursive Neural Networks
Nearest Neighbors in High-Dimensional Data: The Emergence and Influence of Hubs
Music Plus One and Machine Learning
K-means Clustering via Principal Component Analysis