Topics of interest include but are not limited to:

• Learning problems

• Active learning

• Bayesian machine learning

• Deep learning, latent variable models

• Dimensionality reduction

• Feature selection

• Graphical models

• Learning for big data

• Learning in graphs

• Multiple instance learning

• Multi-objective learning

• Multi-task learning

• Semi-supervised learning

• Sparse learning

• Structured output learning

• Supervised learning

• Online learning

• Transfer learning

• Unsupervised learning

• Analysis of learning systems

• Computational learning theory

• Experimental evaluation

• Knowledge refinement

• Reproducible research

• Statistical learning theory

• Applications

• Bioinformatics

• Biomedical information

• Collaborative filtering

• Healthcare

• Computer vision

• Human activity recognition

• Information retrieval

• Natural language processing

• Social networks

• Web search

• Learning in knowledge-intensive systems

• Knowledge refinement and theory revision

• Multi-strategy learning

• Other systems