no code implementations • NeurIPS 2021 • Akash Kumar Dhaka, Alejandro Catalina, Manushi Welandawe, Michael Riis Andersen, Jonathan Huggins, Aki Vehtari
Our framework and supporting experiments help to distinguish between the behavior of BBVI methods for approximating low-dimensional versus moderate-to-high-dimensional posteriors.
no code implementations • 22 Sep 2020 • Tin D. Nguyen, Jonathan Huggins, Lorenzo Masoero, Lester Mackey, Tamara Broderick
We call our construction the automated independent finite approximation (AIFA).
no code implementations • 28 Nov 2018 • Miriam Shiffman, William T. Stephenson, Geoffrey Schiebinger, Jonathan Huggins, Trevor Campbell, Aviv Regev, Tamara Broderick
Specifically, we extend the framework of the classical Dirichlet diffusion tree to simultaneously infer branch topology and latent cell states along continuous trajectories over the full tree.
no code implementations • 23 Jun 2016 • Ryan Giordano, Tamara Broderick, Rachael Meager, Jonathan Huggins, Michael Jordan
Bayesian hierarchical models are increasing popular in economics.