inference algorithm

Uprooting and Rerooting Higher-Order Graphical Models NeurIPS 2017 Complexity of Representation and Inference in Compositional Models with Part Sharing JMLR 2016 Provable Algorithms for Inference in Topic Models ICML 2016 Tractable Operations for Arithmetic Circuits of Probabilistic Models NeurIPS 2016 Adaptive Belief Propagation ICML 2015 A Spectral Algorithm for Inference in Hidden semi-Markov Models AISTATS 2015 How Hard is Inference for Structured Prediction? ICML 2015 A Compilation Target for Probabilistic Programming Languages ICML 2014 Augur: Data-Parallel Probabilistic Modeling NeurIPS 2014 Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers NeurIPS 2014 Just-In-Time Learning for Fast and Flexible Inference NeurIPS 2014 Loopy Belief Propagation in the Presence of Determinism AISTATS 2014 Multi Label Generic Cuts: Optimal Inference in Multi Label Multi Clique MRF-MAP Problems CVPR 2014 A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems CVPR 2013 Marginals-to-Models Reducibility NeurIPS 2013 Structured Learning via Logistic Regression NeurIPS 2013 Approximate Inference by Intersecting Semidefinite Bound and Local Polytope AISTATS 2012 Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NeurIPS 2011 Improvements to the Sequence Memoizer NeurIPS 2010 Worst-case bounds on the quality of max-product fixed-points NeurIPS 2010 An LP View of the M-best MAP problem NeurIPS 2009 Cautious Collective Classification JMLR 2009 Conditional Random Fields with High-Order Features for Sequence Labeling NeurIPS 2009 Riffled Independence for Ranked Data NeurIPS 2009 Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NeurIPS 2007