research
∙
10/06/2022
Hypernetwork approach to Bayesian MAML
The main goal of Few-Shot learning algorithms is to enable learning from...
share
research
∙
06/28/2020
Mixture of Discrete Normalizing Flows for Variational Inference
Advances in gradient-based inference have made distributional approximat...
research
∙
10/27/2019
Prior specification via prior predictive matching: Poisson matrix factorization and beyond
Hyperparameter optimization for machine learning models is typically car...
research
∙
09/11/2019
Correcting Predictions for Approximate Bayesian Inference
Bayesian models quantify uncertainty and facilitate optimal decision-mak...
research
∙
02/02/2019
