Probabilistic Modeling

Discriminative Structure Learning of Arithmetic Circuits AISTATS 2016 Disease Trajectory Maps NeurIPS 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 Energetic Natural Gradient Descent ICML 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 Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016 Exponential Family Embeddings NeurIPS 2016 Flexible Models for Microclustering with Application to Entity Resolution NeurIPS 2016 Gaussian Processes for Survival Analysis NeurIPS 2016 Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain NeurIPS 2016 Generalized Ideal Parent (GIP): Discovering non-Gaussian Hidden Variables AISTATS 2016 Globally Sparse Probabilistic PCA AISTATS 2016 Hawkes Processes with Stochastic Excitations ICML 2016 Herded Gibbs Sampling JMLR 2016 Hierarchical Compound Poisson Factorization ICML 2016 HMM-Based Non-Native Accent Assessment Using Posterior Features Interspeech 2016 Hybrid Copula Bayesian Networks PGM 2016 Identifying the irreducible disjoint factors of a multivariate probability distribution PGM 2016 Inference by Reparameterization in Neural Population Codes NeurIPS 2016 Inference Networks for Sequential Monte Carlo in Graphical Models ICML 2016