43 citations · 139 across the 20 of their papers we have counts for
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stat.ML2018★ 11 cited
Bayesian Nonparametric Spectral Estimation
Felipe Tobar
Spectral estimation (SE) aims to identify how the energy of a signal (e.g., a time series) is distributed across different frequencies. This can become particularly challenging whe…
stat.ML2018★ 4 cited
Bayesian Learning with Wasserstein Barycenters
Julio Backhoff-Veraguas, Joaquin Fontbona, Gonzalo Rios +1
We introduce and study a novel model-selection strategy for Bayesian learning, based on optimal transport, along with its associated predictive posterior law: the Wasserstein popul…
stat.ML2018
Learning non-Gaussian Time Series using the Box-Cox Gaussian Process
Gonzalo Rios, Felipe Tobar
Gaussian processes (GPs) are Bayesian nonparametric generative models that provide interpretability of hyperparameters, admit closed-form expressions for training and inference, an…