bayesian inference

Answer-Type Prediction for Visual Question Answering CVPR 2016 A Probabilistic Framework for Color-Based Point Set Registration CVPR 2016 A Probabilistic Framework for Deep Learning NeurIPS 2016 A Probabilistic Model of Social Decision Making based on Reward Maximization NeurIPS 2016 A Pseudo-Bayesian Algorithm for Robust PCA NeurIPS 2016 A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NeurIPS 2016 Bayesian Generalised Ensemble Markov Chain Monte Carlo AISTATS 2016 Bayesian Graphical Models for Multivariate Functional Data JMLR 2016 Bayesian group factor analysis with structured sparsity JMLR 2016 Bayesian Intermittent Demand Forecasting for Large Inventories NeurIPS 2016 Bayesian latent structure discovery from multi-neuron recordings NeurIPS 2016 Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016 Bayesian Policy Gradient and Actor-Critic Algorithms JMLR 2016 Bayes-Optimal Effort Allocation in Crowdsourcing: Bounds and Index Policies AISTATS 2016 C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching AISTATS 2016 Causal Inference through a Witness Protection Program JMLR 2016 Collapsed Variational Inference for Sum-Product Networks ICML 2016 Compressed Gaussian Process for Manifold Regression JMLR 2016 Computational Imaging for VLBI Image Reconstruction CVPR 2016 Conditional Graphical Lasso for Multi-Label Image Classification CVPR 2016 Coresets for Scalable Bayesian Logistic Regression NeurIPS 2016 CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data JMLR 2016 Cross-Corpora Unsupervised Learning of Trajectories in Autism Spectrum Disorders JMLR 2016 Data-driven learning of symbolic constraints for a log-linear model in a phonological setting COLING 2016 Deep Gaussian Processes for Regression using Approximate Expectation Propagation ICML 2016