Bayesian & Probabilistic

Concrete Dropout NeurIPS 2017 Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models AISTATS 2017 ConStance: Modeling Annotation Contexts to Improve Stance Classification EMNLP 2017 Context Selection for Embedding Models NeurIPS 2017 Convergence rates of a partition based Bayesian multivariate density estimation method NeurIPS 2017 Convolutional Gaussian Processes NeurIPS 2017 Cross-Spectral Factor Analysis NeurIPS 2017 Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs NeurIPS 2017 Deep Dynamic Poisson Factorization Model NeurIPS 2017 Deep Kernels for Optimizing Locomotion Controllers CoRL 2017 Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks NeurIPS 2017 Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA JMLR 2017 Density Estimation in Infinite Dimensional Exponential Families JMLR 2017 Dependency Grammar Induction with Neural Lexicalization and Big Training Data EMNLP 2017 Detecting Perspectives in Political Debates EMNLP 2017 Diachrony-aware Induction of Binary Latent Representations from Typological Features IJCNLP 2017 Differentiable Learning of Submodular Models NeurIPS 2017 Discovering Relevance-Dependent Bicluster Structure from Relational Data IJCAI 2017 Discriminative Bayesian Nonparametric Clustering IJCAI 2017 Doubly Stochastic Variational Inference for Deep Gaussian Processes NeurIPS 2017 DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output SemEval 2017 Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching IJCAI 2017 Dynamic Time-Of-Flight CVPR 2017 EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms NeurIPS 2017 Efficient and Flexible Inference for Stochastic Systems NeurIPS 2017