Bayesian & Probabilistic

Bayesian Multiple Target Localization ICML 2015 Bayesian Nonparametric Covariance Regression JMLR 2015 Bayesian Nonparametric Crowdsourcing JMLR 2015 Bayesian Non-Parametric Inference for Manifold Based MoCap Representation ICCV 2015 Bayesian Optimization with Exponential Convergence NeurIPS 2015 Biologically Inspired Dynamic Textures for Probing Motion Perception NeurIPS 2015 Bounding errors of Expectation-Propagation NeurIPS 2015 Bounding the Cost of Search-Based Lifted Inference NeurIPS 2015 Concave Penalized Estimation of Sparse Gaussian Bayesian Networks JMLR 2015 Consensus Message Passing for Layered Graphical Models AISTATS 2015 Controversy in mechanistic modelling with Gaussian processes ICML 2015 Copula variational inference NeurIPS 2015 Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NeurIPS 2015 Decomposition Bounds for Marginal MAP NeurIPS 2015 Deep Convolutional Inverse Graphics Network NeurIPS 2015 Deep Poisson Factor Modeling NeurIPS 2015 Deep Temporal Sigmoid Belief Networks for Sequence Modeling NeurIPS 2015 Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation NeurIPS 2015 Differentially Private Learning of Structured Discrete Distributions NeurIPS 2015 Discrete Restricted Boltzmann Machines JMLR 2015 Distributed Inference for Dirichlet Process Mixture Models ICML 2015 DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics ICML 2015 Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression NeurIPS 2015 Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NeurIPS 2015 Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NeurIPS 2015