Search Results for author:
Found 2 papers, 1 papers with code
Counterfactual Inference for Consumer Choice Across Many Product Categories
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.
The Generalized Reparameterization Gradient
The reparameterization gradient has become a widely used method to obtain Monte Carlo gradients to optimize the variational objective.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
