Burroni, Javier

6 publications

UAI 2024 Sample Average Approximation for Black-Box Variational Inference Javier Burroni, Justin Domke, Daniel Sheldon

ICML 2023 Automatically Marginalized MCMC in Probabilistic Programming Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon

TMLR 2023 U-Statistics for Importance-Weighted Variational Inference Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon

UAI 2021 Min/max Stability and Box Distributions Michael Boratko, Javier Burroni, Shib Sankar Dasgupta, Andrew McCallum

UAI 2019 Object Conditioning for Causal Inference David Jensen, Javier Burroni, Matthew Rattigan

ICML 2019 Predicate Exchange: Inference with Declarative Knowledge Zenna Tavares, Javier Burroni, Edgar Minasyan, Armando Solar-Lezama, Rajesh Ranganath