Search Results for author: Fariba Yousefi

Found 3 papers, 1 papers with code

Multi-task Learning for Aggregated Data using Gaussian Processes

2 code implementations NeurIPS 2019 Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez

Our model represents each task as the linear combination of the realizations of latent processes that are integrated at a different scale per task.

Air Pollution Prediction Epidemiology +2

Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model

no code implementations30 Jun 2016 Fariba Yousefi, Zhenwen Dai, Carl Henrik Ek, Neil Lawrence

Unsupervised learning on imbalanced data is challenging because, when given imbalanced data, current model is often dominated by the major category and ignores the categories with small amount of data.

Variational Inference

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