research
∙
07/27/2023
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
We prove that black-box variational inference (BBVI) with control variat...
share
research
∙
05/24/2023
Black-Box Variational Inference Converges
We provide the first convergence guarantee for full black-box variationa...
research
∙
05/07/2023
Disentangled Multi-Fidelity Deep Bayesian Active Learning
To balance quality and cost, various domain areas of science and enginee...
research
∙
06/30/2021
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence
Variational Inference (VI) is a popular alternative to asymptotically ex...
research
∙
02/12/2021
DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting
We introduce DeepGLEAM, a hybrid model for COVID-19 forecasting. DeepGLE...
research
∙
11/06/2020
