Lifted graphical models: a survey
Optimizing regression models for data streams with missing values
The effect of splitting on random forests
Entropic risk minimization for nonparametric estimation of mixing distributions
A unified statistical approach to non-negative matrix factorization and probabilistic latent semantic indexing
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD)
Asymptotic analysis of estimators on multi-label data
A generalized online mirror descent with applications to classification and regression
Expectation propagation in linear regression models with spike-and-slab priors
Operator-valued kernel-based vector autoregressive models for network inference
Introduction: special issue of selected papers of ACML 2013
Adaptive Euclidean maps for histograms: generalized Aitchison embeddings
Information retrieval approach to meta-visualization
Multilabel classification through random graph ensembles
Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions
Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning
Unconfused ultraconservative multiclass algorithms