Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection

22 July 2022

Papers citing "Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection"

5 / 5 papers shown

Title
Batch, match, and patch: low-rank approximations for score-based variational inference Chirag Modi Diana Cai Lawrence K. Saul BDL 39 1 0 29 Oct 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families Joohwan Ko Kyurae Kim W. Kim Jacob R. Gardner BDL 30 2 0 19 Jan 2024
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint Y. Freund Yi Ma Tong Zhang 37 16 0 05 Oct 2021
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting B. Guha A. Bhattacharya D. Pati 26 2 0 19 Oct 2020
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels Peter J. Bickel David S. Choi Xiangyu Chang Hai Zhang 65 220 0 04 Jul 2012