Bayesian Inference

Bounding the Cost of Search-Based Lifted Inference NeurIPS 2015 Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields AISTATS 2015 Concave Penalized Estimation of Sparse Gaussian Bayesian Networks JMLR 2015 Consensus Message Passing for Layered Graphical Models AISTATS 2015 Convergence rate of Bayesian tensor estimator and its minimax optimality ICML 2015 Copula variational inference NeurIPS 2015 Coresets for Nonparametric Estimation - the Case of DP-Means ICML 2015 Co-Saliency Detection via Looking Deep and Wide CVPR 2015 Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NeurIPS 2015 Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions NeurIPS 2015 Decision Boundary for Discrete Bayesian Network Classifiers JMLR 2015 Deep Poisson Factor Modeling NeurIPS 2015 Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation NeurIPS 2015 Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs CVPR 2015 Differentially Private Bayesian Optimization ICML 2015 Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation AISTATS 2015 Discovering Temporal Causal Relations from Subsampled Data ICML 2015 Distributed Gaussian Processes ICML 2015 Distributed Inference for Dirichlet Process Mixture Models ICML 2015 Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NeurIPS 2015 Efficient Training of LDA on a GPU by Mean-for-Mode Estimation ICML 2015 Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) ICML 2015 Enhancing Road Maps by Parsing Aerial Images Around the World ICCV 2015 Exact Bayesian Learning of Ancestor Relations in Bayesian Networks AISTATS 2015 Expectation Particle Belief Propagation NeurIPS 2015