Miller, Andrew C.

4 publications

MLHC 2021 Model-Based Metrics: Sample-Efficient Estimates of Predictive Model Subpopulation Performance Andrew C. Miller, Leon A. Gatys, Joseph Futoma, Emily Fox

MLHC 2020 Learning Insulin-Glucose Dynamics in the Wild Andrew C. Miller, Nicholas J. Foti, Emily Fox

AISTATS 2017 Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems Scott W. Linderman, Matthew J. Johnson, Andrew C. Miller, Ryan P. Adams, David M. Blei, Liam Paninski

ICML 2017 Variational Boosting: Iteratively Refining Posterior Approximations Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams