Sebastian Kelly

Scalable Bayesian Matrix Completion with Stochastic Optimization and Coordinate Updates – In this paper, we propose a novel unsupervised model based on a multi-level Gaussian process model to compute the structure of the data generated by a neural network. Unlike the previous unsupervised methods, our model performs well even on very sparse data. Extensive experiments […]