probabilistic model

Learning the Irreducible Representations of Commutative Lie Groups ICML 2014 Low-Rank Spectral Learning AISTATS 2014 Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison ICML 2014 New Learning Methods for Supervised and Unsupervised Preference Aggregation JMLR 2014 New Rules for Domain Independent Lifted MAP Inference NeurIPS 2014 Optimal Decisions from Probabilistic Models: The Intersection-over-Union Case CVPR 2014 Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows ICML 2014 Probabilistic Partial Canonical Correlation Analysis ICML 2014 Recursive Inversion Models for Permutations NeurIPS 2014 Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NeurIPS 2014 Unsupervised Transcription of Piano Music NeurIPS 2014 Active Visual Recognition with Expertise Estimation in Crowdsourcing ICCV 2013 A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 A Video Representation Using Temporal Superpixels CVPR 2013 Coherent Motion Segmentation in Moving Camera Videos Using Optical Flow Orientations ICCV 2013 Discriminative Re-ranking of Diverse Segmentations CVPR 2013 Documents as multiple overlapping windows into grids of counts NeurIPS 2013 Hidden Factor Analysis for Age Invariant Face Recognition ICCV 2013 Latent Task Adaptation with Large-Scale Hierarchies ICCV 2013 Layer Depth Denoising and Completion for Structured-Light RGB-D Cameras CVPR 2013 Learning and using language via recursive pragmatic reasoning about other agents NeurIPS 2013 Learning Feature Selection Dependencies in Multi-task Learning NeurIPS 2013 Learning Slow Features for Behaviour Analysis ICCV 2013 Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization CVPR 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013