Probabilistic Modeling

Latent Task Adaptation with Large-Scale Hierarchies ICCV 2013 LDA Topic Model with Soft Assignment of Descriptors to Words ICML 2013 Learning Chordal Markov Networks by Constraint Satisfaction 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 Linear Bayesian Networks with Latent Variables ICML 2013 Learning Markov Networks With Arithmetic Circuits AISTATS 2013 Learning Slow Features for Behaviour Analysis ICCV 2013 Learning Stochastic Feedforward Neural Networks NeurIPS 2013 Learning Stochastic Inverses NeurIPS 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 Learning the Visual Interpretation of Sentences ICCV 2013 Learning to Pass Expectation Propagation Messages NeurIPS 2013 Locally Adaptive Bayesian Multivariate Time Series NeurIPS 2013 Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization CVPR 2013 Marginals-to-Models Reducibility NeurIPS 2013 Message Passing Inference with Chemical Reaction Networks NeurIPS 2013 Message passing with l1 penalized KL minimization ICML 2013 Mixture of Mutually Exciting Processes for Viral Diffusion ICML 2013 Modeling Clutter Perception using Parametric Proto-object Partitioning NeurIPS 2013 Modeling Overlapping Communities with Node Popularities NeurIPS 2013 Modeling Temporal Evolution and Multiscale Structure in Networks ICML 2013 Multi-Task Bayesian Optimization NeurIPS 2013