gaussian embeddings

Gaussian Embeddings for Collaborative Filtering

Most collaborative filtering systems, such as matrix factorization, use vector representations for items and users. Those representations are deterministic, and do not allow modeling the uncertainty of the learned representation, which can be useful …

Modeling Relational Time Series using Gaussian Embeddings

We address the problem of modeling multiple simultaneous time series where the observations are correlated not only inside each series, but among the different series. This problem happens in many domains such as ecology, meteorology, …

Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings