Co-occurring keywords · papers mentioning both
Papers
Structured Determinantal Point Processes
NeurIPS 2010
A Gaussian Tree Approximation for Integer Least-Squares
NeurIPS 2009
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process
NeurIPS 2009
Particle-based Variational Inference for Continuous Systems
NeurIPS 2009
Clusters and Coarse Partitions in LP Relaxations
NeurIPS 2008
Continuously-adaptive discretization for message-passing algorithms
NeurIPS 2008
Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation
NeurIPS 2008
Gates
NeurIPS 2008
Improved Moves for Truncated Convex Models
NeurIPS 2008
Improving on Expectation Propagation
NeurIPS 2008
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
NeurIPS 2007
Linear programming analysis of loopy belief propagation for weighted matching
NeurIPS 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
NeurIPS 2007
Loop Corrections for Approximate Inference on Factor Graphs
JMLR 2007
Measuring Neural Synchrony by Message Passing
NeurIPS 2007
Message Passing for Max-weight Independent Set
NeurIPS 2007
TrueSkill Through Time: Revisiting the History of Chess
NeurIPS 2007
Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting
JMLR 2006
The Neurodynamics of Belief Propagation on Binary Markov Random Fields
NeurIPS 2006
Local Propagation in Conditional Gaussian Bayesian Networks
JMLR 2005
Loopy Belief Propagation: Convergence and Effects of Message Errors
JMLR 2005
Variational Message Passing
JMLR 2005