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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

Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes EMNLP 2025
Diffusion Priors for Variational Likelihood Estimation and Image Denoising NIPS 2024
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024
Abductive Reasoning in Logical Credal Networks NIPS 2024
An Algorithm and Complexity Results for Causal Unit Selection CLEAR 2023
NeoMaPy: A Framework for Computing MAP Inference on Temporal Knowledge Graphs IJCAI 2023
Neural Map Prior for Autonomous Driving CVPR 2023
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models ICML 2022
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes ICML 2022
The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions With Approximate Inference CVPR 2022
Speeding up approximate MAP by applying domain knowledge about relevant variables PGM 2022
Variational message passing neural network for Maximum-A-Posteriori (MAP) inference UAI 2022
Relevance for Robust Bayesian Network MAP-Explanations PGM 2022
Lazy and Fast Greedy MAP Inference for Determinantal Point Process NIPS 2022
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm NIPS 2021
Unconstrained MAP Inference, Exponentiated Determinantal Point Processes, and Exponential Inapproximability AISTATS 2021
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances AISTATS 2021
Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch) ICML 2021
Convergence Rates of Smooth Message Passing with Rounding in Entropy-Regularized MAP Inference AISTATS 2020
Deep Unfolding Network for Image Super-Resolution CVPR 2020
Relative Interior Rule in Block-Coordinate Descent CVPR 2020
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm AAAI 2020
MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search AISTATS 2020
Almost No News on the Complexity of MAP in Bayesian Networks PGM 2020
Label Error Correction and Generation through Label Relationships AAAI 2020