All Stories

  1. Active Feature Acquisition with Supervised Matrix Completion
  2. Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence
  3. Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities
  4. Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction
  5. Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries
  6. Density Ratio Estimation in Machine Learning
  7. Dataset Shift in Machine Learning