Co-occurring keywords · papers mentioning both
Papers
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
COLT 2024
Approximate Inference for Stochastic Planning in Factored Spaces
PGM 2022
Learning Neural Set Functions Under the Optimal Subset Oracle
NeurIPS 2022
Flexible mean field variational inference using mixtures of non-overlapping exponential families
NeurIPS 2020
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues
NeurIPS 2018
Principled Parallel Mean-Field Inference for Discrete Random Fields
CVPR 2016
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
NeurIPS 2008