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conftrace_

maximum a posteriori estimation

32 papers

Papers

AFUNet: Cross-Iterative Alignment-Fusion Synergy for HDR Reconstruction via Deep Unfolding Paradigm ICCV 2025 On Local Posterior Structure in Deep Ensembles AISTATS 2025 Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation ICLR 2025 Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models AISTATS 2024 Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching NeurIPS 2024 Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning AAAI 2024 Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation (Extended Abstract) IJCAI 2023 Decompositional Generation Process for Instance-Dependent Partial Label Learning ICLR 2023 Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021 Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder IJCAI 2020 Bi-level Probabilistic Feature Learning for Deformable Image Registration IJCAI 2020 Probability Weighted Compact Feature for Domain Adaptive Retrieval CVPR 2020 Database Alignment with Gaussian Features AISTATS 2019 Reflective and Fluorescent Separation Under Narrow-Band Illumination CVPR 2019 The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling COLT 2019 Domain Mismatch Modeling of Out-Domain i-Vectors for PLDA Speaker Verification Interspeech 2017 Discrete Rényi Classifiers NeurIPS 2015 A Bayesian Framework For the Local Configuration of Retinal Junctions CVPR 2014 Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014 Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NeurIPS 2013 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 A blind sparse deconvolution method for neural spike identification NeurIPS 2011 Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NeurIPS 2009 Convex Relaxation of Mixture Regression with Efficient Algorithms NeurIPS 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009