Probabilistic Modeling

On Stacking Probabilistic Temporal Models with Bidirectional Information Flow PGM 2016 On the Importance of Efficient Transition Modeling for Speaker Diarization Interspeech 2016 Operator Variational Inference NeurIPS 2016 Optimality of Belief Propagation for Crowdsourced Classification ICML 2016 PAC learning of Probabilistic Automaton based on the Method of Moments ICML 2016 Pairwise Choice Markov Chains NeurIPS 2016 Parameter Learning for Log-supermodular Distributions NeurIPS 2016 PHOG: Probabilistic Model for Code ICML 2016 Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data MLHC 2016 Probabilistic Approaches to the AXB = YCZ Calibration Problem in Multi-Robot Systems RSS 2016 Probabilistic Approach Using Joint Clean and Noisy i-Vectors Modeling for Speaker Recognition Interspeech 2016 Probabilistic Approximate Least-Squares AISTATS 2016 Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity PGM 2016 Probabilistic Inference with Generating Functions for Poisson Latent Variable Models NeurIPS 2016 Probabilistic Prototype Model for Serendipitous Property Mining COLING 2016 Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA ACML 2016 RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian With Application to Material Recognition CVPR 2016 Regime Aware Learning PGM 2016 Reinforcement Learning of POMDPs using Spectral Methods COLT 2016 Scalable MAP inference in Bayesian networks based on a Map-Reduce approach PGM 2016 Scalable MCMC for Mixed Membership Stochastic Blockmodels AISTATS 2016 Select-and-Sample for Spike-and-Slab Sparse Coding NeurIPS 2016 Sequential Neural Models with Stochastic Layers NeurIPS 2016 Short Utterance Variance Modelling and Utterance Partitioning for PLDA Speaker Verification Interspeech 2016 Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing JMLR 2016