Co-occurring keywords · papers mentioning both
Papers
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming
ICML 2024
Revisiting Structured Variational Autoencoders
ICML 2023
Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently
AAAI 2021
Collaborative Classification from Noisy Labels
AISTATS 2021
Bundle Adjustment on a Graph Processor
CVPR 2020
Generalized Nonbacktracking Bounds on the Influence
JMLR 2020
Message Passing Least Squares Framework and its Application to Rotation Synchronization
ICML 2020
Regularized Gaussian Belief Propagation with Nodes of Arbitrary Size
JMLR 2020
Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information
JMLR 2020
A Convex Relaxation for Multi-Graph Matching
CVPR 2019
Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models
ICML 2019
Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings
ICML 2018
An Algebra for Feature Extraction
ACL 2017
Nonbacktracking Bounds on the Influence in Independent Cascade Models
NeurIPS 2017
Perturbed Message Passing for Constraint Satisfaction Problems
JMLR 2015
Min-Max Problems on Factor Graphs
ICML 2014
A message-passing algorithm for multi-agent trajectory planning
NeurIPS 2013
Bayesian inference as iterated random functions with applications to sequential inference in graphical models
NeurIPS 2013
Blind Calibration in Compressed Sensing using Message Passing Algorithms
NeurIPS 2013
Higher Order Matching for Consistent Multiple Target Tracking
ICCV 2013
Learning Gaussian Graphical Models with Observed or Latent FVSs
NeurIPS 2013
Message-Passing Algorithms for Quadratic Minimization
JMLR 2013
Sensor Selection in High-Dimensional Gaussian Trees with Nuisances
NeurIPS 2013
Using Symmetry and Evolutionary Search to Minimize Sorting Networks
JMLR 2013
Complexity of Bethe Approximation
AISTATS 2012