map inference

Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes EMNLP 2025 Abductive Reasoning in Logical Credal Networks NeurIPS 2024 An Adaptive Implicit Hitting Set Algorithm for MAP and MPE Inference PGM 2024 Diffusion Priors for Variational Likelihood Estimation and Image Denoising NeurIPS 2024 MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 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 From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization COLT 2022 Lazy and Fast Greedy MAP Inference for Determinantal Point Process NeurIPS 2022 One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes ICML 2022 Relevance for Robust Bayesian Network MAP-Explanations PGM 2022 Speeding up approximate MAP by applying domain knowledge about relevant variables PGM 2022 The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions With Approximate Inference CVPR 2022 Variational message passing neural network for Maximum-A-Posteriori (MAP) inference UAI 2022 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 Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm NeurIPS 2021 Unconstrained MAP Inference, Exponentiated Determinantal Point Processes, and Exponential Inapproximability AISTATS 2021 Accelerated Message Passing for Entropy-Regularized MAP Inference ICML 2020 Almost No News on the Complexity of MAP in Bayesian Networks PGM 2020 Convergence Rates of Smooth Message Passing with Rounding in Entropy-Regularized MAP Inference AISTATS 2020 Deep Unfolding Network for Image Super-Resolution CVPR 2020 Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm AAAI 2020