Co-occurring keywords · papers mentioning both
Papers
Hessian Geometry of Latent Space in Generative Models
ICML 2025
Variational Inference on the Boolean Hypercube with the Quantum Entropy
AISTATS 2025
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
ICML 2024
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function
AISTATS 2022
Quantifying Variational Approximation for Log-Partition Function
COLT 2021
Optimal Submodular Extensions for Marginal Estimation
AISTATS 2018
Provable Variational Inference for Constrained Log-Submodular Models
NeurIPS 2018
Neural Variational Inference and Learning in Undirected Graphical Models
NeurIPS 2017
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial
NeurIPS 2015
Concavity of reweighted Kikuchi approximation
NeurIPS 2014
From MAP to Marginals: Variational Inference in Bayesian Submodular Models
NeurIPS 2014
A Convex Upper Bound on the Log-Partition Function for Binary Distributions
NeurIPS 2008
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
NeurIPS 2007
New Outer Bounds on the Marginal Polytope
NeurIPS 2007