probabilistic modeling

Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes CVPR 2013 Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 2013 Learning and using language via recursive pragmatic reasoning about other agents NeurIPS 2013 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NeurIPS 2013 Learning Feature Selection Dependencies in Multi-task Learning NeurIPS 2013 Learning Markov Networks With Arithmetic Circuits AISTATS 2013 Learning the Structure of Sum-Product Networks ICML 2013 Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization CVPR 2013 Markov Network-Based Unified Classifier for Face Identification ICCV 2013 Noise-Enhanced Associative Memories NeurIPS 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation CVPR 2013 Probabilistic Label Trees for Efficient Large Scale Image Classification CVPR 2013 Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NeurIPS 2013 Probabilistic Movement Primitives NeurIPS 2013 Probabilistic Principal Geodesic Analysis NeurIPS 2013 Recognising Human-Object Interaction via Exemplar Based Modelling ICCV 2013 Recovering Line-Networks in Images by Junction-Point Processes CVPR 2013 Robust Low Rank Kernel Embeddings of Multivariate Distributions NeurIPS 2013 Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013 Universal models for binary spike patterns using centered Dirichlet processes NeurIPS 2013 Using multiple samples to learn mixture models NeurIPS 2013 Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies NeurIPS 2013 A Conditional Multinomial Mixture Model for Superset Label Learning NeurIPS 2012 Bayesian Hierarchical Reinforcement Learning NeurIPS 2012