Causality
Structured Prediction for Natural Language Processing
Computational Cognitive Science
Towards a Learning Theory of Cause-Effect Inference
Advances in Causal-Based Feature Selection
Multi-View Dimensionality Reduction via Canonical Correlation Analysis
Variance Approximation in Large-Scale Gaussian Markov Random Fields
Dynamic Factor Graphs for Time Series Modeling
Feature selection, fundamentals and applications
Bugbears or Legitimate Threats? (Social) Scientists' Criticisms of Machine Learning