Probabilistic Modeling

Edge-exchangeable graphs and sparsity NeurIPS 2016 End-To-End Saliency Mapping via Probability Distribution Prediction CVPR 2016 Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016 Estimating the Size of a Large Network and its Communities from a Random Sample NeurIPS 2016 Evidence Evaluation: a Study of Likelihoods and Independence PGM 2016 Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks PGM 2016 Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016 Exploring Differential Topic Models for Comparative Summarization of Scientific Papers COLING 2016 Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation COLING 2016 Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016 From Noise Modeling to Blind Image Denoising CVPR 2016 Generalized Direct Change Estimation in Ising Model Structure ICML 2016 Generative Acoustic-Phonemic-Speaker Model Based on Three-Way Restricted Boltzmann Machine Interspeech 2016 Geometric Dirichlet Means Algorithm for topic inference NeurIPS 2016 Grammar induction from (lots of) words alone COLING 2016 Hawkes Processes with Stochastic Excitations ICML 2016 Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network ACML 2016 Hybrid Copula Bayesian Networks PGM 2016 Identifying the irreducible disjoint factors of a multivariate probability distribution PGM 2016 Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model ACML 2016 Inference Networks for Sequential Monte Carlo in Graphical Models ICML 2016 Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs COLING 2016 Interacting Particle Markov Chain Monte Carlo ICML 2016 Isotonic Hawkes Processes ICML 2016 Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease PGM 2016