Linear Algebra and Machine Learning of Large Informatics Graphs
An RKHS for Multi-View Learning and Manifold Co-Regularization
Machine Learning Markets
Structure-dependent microkinetic analysis of heterogeneous catalytic processes: methodology and applications
Building Machines that Imagine and Reason: Principles and Applications of Deep Generative Models
Sample Complexity of Testing the Manifold Hypothesis
P3 – Coordination of Distributed Systems
Statistical Learning Theory and Applications
A Fast Variational Approach for Learning Markov Random Field Language Models
Theory of RL