Batch and match: black-box variational inference with a score-based divergence

22 February 2024

Papers citing "Batch and match: black-box variational inference with a score-based divergence"

9 / 9 papers shown

Title
PaperBench: Evaluating AI's Ability to Replicate AI Research Giulio Starace Oliver Jaffe Dane Sherburn James Aung Jun Shern Chan ... Benjamin Kinsella Wyatt Thompson Johannes Heidecke Amelia Glaese Tejal Patwardhan ALM ELM 800 6 0 02 Apr 2025
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance Christophe Vauthier Quentin Mérigot Anna Korba 45 0 0 10 Feb 2025
EigenVI: score-based variational inference with orthogonal function expansions Diana Cai Chirag Modi C. Margossian Robert Mansel Gower David M. Blei Lawrence K. Saul BDL 39 5 0 31 Oct 2024
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
ATLAS: Adapting Trajectory Lengths and Step-Size for Hamiltonian Monte Carlo Chirag Modi 26 1 0 28 Oct 2024
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix C. Margossian Lawrence K. Saul 31 1 0 14 Oct 2024
Doubly Adaptive Importance Sampling W. van den Boom Andrea Cremaschi Alexandre H. Thiery 26 0 0 29 Apr 2024
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs C. Margossian Loucas Pillaud-Vivien Lawrence K. Saul UD 71 2 0 20 Mar 2024
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box Ryan Giordano Martin Ingram Tamara Broderick 61 12 0 11 Apr 2023