Preference elicitation and inverse reinforcement learning
Principal Component Analysis with Contaminated Data: The High Dimensional Case
Probabilistic analysis of the human transcriptome with side information
Probabilistic coherence and proper scoring rules
Probabilistic Recovery of Multiple Subspaces in Point Clouds by Geometric lp Minimization
Protocols for Learning Classifiers on Distributed Data
Proximal Methods for Hierarchical Sparse Coding
Pruning nearest neighbor cluster trees