Search Results for author: Francisco R. Ruiz

Found 2 papers, 1 papers with code

Counterfactual Inference for Consumer Choice Across Many Product Categories

1 code implementation6 Jun 2019 Rob Donnelly, Francisco R. Ruiz, David Blei, Susan Athey

One source of the improvement is the ability of the model to accurately estimate heterogeneity in preferences (by pooling information across categories); another source of improvement is its ability to estimate the preferences of consumers who have rarely or never made a purchase in a given category in the training data.

counterfactual Counterfactual Inference

The Generalized Reparameterization Gradient

no code implementations NeurIPS 2016 Francisco R. Ruiz, Michalis Titsias Rc Aueb, David Blei

The reparameterization gradient has become a widely used method to obtain Monte Carlo gradients to optimize the variational objective.

Variational Inference

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