Link prediction via matrix factorization
Boosting Products of Base Classi´Čüers
Sparse Methods for Machine Learning: Theory and Algorithms
Multi-Task Learning and Matrix Regularization
Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care
The Recommender Problem Revisited
Matching Users and Items Across Domains to Improve the Recommendation Quality
Non-Linear Matrix Factorization with Gaussian Processes
Collaborative Filtering with Temporal Dynamics
Multi-Task Learning via Matrix Regularization