Low-rank modeling
Fast Online Learning through Offline Initialization for Time-sensitive Recommendation
Matrix Completion via Convex Optimization: Theory and Algorithms
Topics in Mathematics of Data Science
The Recommender Problem Revisited
People In Motion: Pose, Action and Communication
Improved Nystrom Low-Rank Approximation and Error Analysis
Machine Learning in the Cloud with GraphLab
Lecture 13: Linear Discrimination (Cont.)
Quantum Complexity Theory