Bayesian & Probabilistic

Cooperative Graphical Models NeurIPS 2016 Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity CVPR 2016 Coresets for Scalable Bayesian Logistic Regression NeurIPS 2016 CRAFT: ClusteR-specific Assorted Feature selecTion AISTATS 2016 Data Programming: Creating Large Training Sets, Quickly NeurIPS 2016 Decisions and Dependence in Influence Diagrams PGM 2016 Differential Privacy without Sensitivity NeurIPS 2016 Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016 DISCO Nets : DISsimilarity COefficients Networks NeurIPS 2016 Discriminative Structure Learning of Arithmetic Circuits AISTATS 2016 Disease Trajectory Maps NeurIPS 2016 Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning ICML 2016 Dual Control for Approximate Bayesian Reinforcement Learning JMLR 2016 Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016 Edge-exchangeable graphs and sparsity NeurIPS 2016 Efficient Grounding of Abstract Spatial Concepts for Natural Language Interaction with Robot Manipulators RSS 2016 Efficient Sampling for k-Determinantal Point Processes AISTATS 2016 Eliciting Categorical Data for Optimal Aggregation NeurIPS 2016 Energetic Natural Gradient Descent ICML 2016 Enumerating Equivalence Classes of Bayesian Networks using EC Graphs AISTATS 2016 Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016 Estimating SE(3) elements using a dual quaternion based linear Kalman filter RSS 2016 Evidence Evaluation: a Study of Likelihoods and Independence PGM 2016 Exact Exponent in Optimal Rates for Crowdsourcing ICML 2016 Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks PGM 2016