AutoEval Done Right: Using Synthetic Data for Model Evaluation

1 code implementation • 9 Mar 2024 • Pierre Boyeau, Anastasios N. Angelopoulos, Nir Yosef, Jitendra Malik, Michael I. Jordan

The evaluation of machine learning models using human-labeled validation data can be expensive and time-consuming.

Decision-Making with Auto-Encoding Variational Bayes

2 code implementations • NeurIPS 2020 • Romain Lopez, Pierre Boyeau, Nir Yosef, Michael. I. Jordan, Jeffrey Regier

To make decisions based on a model fit with auto-encoding variational Bayes (AEVB), practitioners often let the variational distribution serve as a surrogate for the posterior distribution.

Decision Making Two-sample testing