conftrace_

map inference

130 papers

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Co-occurring keywords

graphical model (864) markov random field (303) combinatorial optimization (1039) linear programming relaxation (40) message passing (579) approximate inference (253) linear programming (227) lp relaxation (19) determinantal point process (140) probabilistic graphical model (226)

Papers

Almost No News on the Complexity of MAP in Bayesian Networks PGM 2020
Relative Interior Rule in Block-Coordinate Descent CVPR 2020
Label Error Correction and Generation through Label Relationships AAAI 2020
Train and Test Tightness of LP Relaxations in Structured Prediction JMLR 2019
One-Shot Marginal MAP Inference in Markov Random Fields UAI 2019
MAP Inference via Block-Coordinate Frank-Wolfe Algorithm CVPR 2019
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm ICML 2019
Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation ICML 2019
Lifted Hinge-Loss Markov Random Fields AAAI 2019
Bottleneck Potentials in Markov Random Fields ICCV 2019
Block Stability for MAP Inference AISTATS 2019
Optimality of Approximate Inference Algorithms on Stable Instances AISTATS 2018
Inference in Higher Order MRF-MAP Problems With Small and Large Cliques CVPR 2018
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity NIPS 2018
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time ICML 2018
SparseMAP: Differentiable Sparse Structured Inference ICML 2018
A Novel Approach to Handle Inference in Discrete Markov Networks with Large Label Sets PGM 2018
Continuous Relaxation of MAP Inference: A Nonconvex Perspective CVPR 2018
Solving M-Modes in Loopy Graphs Using Tree Decompositions PGM 2018
Markov Random Field MAP as Set Partitioning PGM 2018
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic JMLR 2017
A Bayesian Framework for Learning Rule Sets for Interpretable Classification JMLR 2017
Exact MAP Inference by Avoiding Fractional Vertices ICML 2017
Order Statistics for Probabilistic Graphical Models IJCAI 2017
Inference in Graphical Models via Semidefinite Programming Hierarchies NIPS 2017