maximum a posteriori

The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling COLT 2019 Unsupervised Adversarial Image Reconstruction ICLR 2019 Word Embedding as Maximum A Posteriori Estimation AAAI 2019 Bayesian Model Selection for Change Point Detection and Clustering ICML 2018 Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity NeurIPS 2018 Learning a Discriminative Prior for Blind Image Deblurring CVPR 2018 Markov Random Field MAP as Set Partitioning PGM 2018 Maximum a Posteriori Policy Optimisation ICLR 2018 Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations NeurIPS 2018 Scaling the Poisson GLM to massive neural datasets through polynomial approximations NeurIPS 2018 Humans do not Maximize the Probability of Correct Decision When Recognizing DANTALE Words in Noise Interspeech 2017 Most Probable Explanations for Probabilistic Database Queries IJCAI 2017 Noise-Blind Image Deblurring CVPR 2017 Simultaneous Trajectory Estimation and Planning via Probabilistic Inference RSS 2017 When Does Label Propagation Fail? A View from a Network Generative Model IJCAI 2017 A Field Model for Repairing 3D Shapes CVPR 2016 An equivalence between high dimensional Bayes optimal inference and M-estimation NeurIPS 2016 Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016 Language Recognition via Sparse Coding Interspeech 2016 Maximum a posteriori Based Decoding for CTC Acoustic Models Interspeech 2016 Multiple Kernel Learning with Data Augmentation ACML 2016 On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models Interspeech 2016 Scalable MAP inference in Bayesian networks based on a Map-Reduce approach PGM 2016 Soft-Segmentation Guided Object Motion Deblurring CVPR 2016 Unconstrained Salient Object Detection via Proposal Subset Optimization CVPR 2016