Matrix Computations and Optimization in Apache Spark
Clustering Data: Does Theory Help?
Deterministic Independent Component Analysis
Algorithmic Aspects of Machine Learning
Efficiently implementing sparsity in learning
Improved Nystrom Low-Rank Approximation and Error Analysis
Workshop in IT: Collaborative Innovation Networks
Cheeger Cuts and p-Spectral Clustering
Large-scale and larger-scale image search
A New Kernel for Classification of Networked Entitiess