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Probabilistic Modeling

2,617 papers

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Papers

Graphical Models for Inference with Missing Data NeurIPS 2013 Hallucinated Humans as the Hidden Context for Labeling 3D Scenes CVPR 2013 Hidden Factor Analysis for Age Invariant Face Recognition ICCV 2013 Hierarchical Tensor Decomposition of Latent Tree Graphical Models ICML 2013 Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation NeurIPS 2013 Holistic Scene Understanding for 3D Object Detection with RGBD Cameras ICCV 2013 Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families COLT 2013 Illuminant Chromaticity from Image Sequences ICCV 2013 Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes CVPR 2013 Inference algorithms for pattern-based CRFs on sequence data ICML 2013 Inferring neural population dynamics from multiple partial recordings of the same neural circuit NeurIPS 2013 Inverse Density as an Inverse Problem: the Fredholm Equation Approach NeurIPS 2013 It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NeurIPS 2013 Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 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 Chordal Markov Networks by Constraint Satisfaction NeurIPS 2013 Learning CRFs for Image Parsing with Adaptive Subgradient Descent ICCV 2013 Learning Feature Selection Dependencies in Multi-task Learning NeurIPS 2013 Learning Gaussian Graphical Models with Observed or Latent FVSs NeurIPS 2013 Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NeurIPS 2013 Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes AISTATS 2013 Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models ICML 2013 Learning the Local Statistics of Optical Flow NeurIPS 2013 Learning the Structure of Sum-Product Networks ICML 2013