Geometry Aware Mappings for High Dimensional Sparse Factors

no code implementations • 16 May 2016 • Avradeep Bhowmik, Nathan Liu, Erheng Zhong, Badri Narayan Bhaskar, Suju Rajan

While matrix factorisation models are ubiquitous in large scale recommendation and search, real time application of such models requires inner product computations over an intractably large set of item factors.

Vocal Bursts Intensity Prediction

Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC

no code implementations • 5 Mar 2015 • Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling

Despite having various attractive qualities such as high prediction accuracy and the ability to quantify uncertainty and avoid over-fitting, Bayesian Matrix Factorization has not been widely adopted because of the prohibitive cost of inference.