Probabilistic Modeling

Bayesian Dynamic Mode Decomposition IJCAI 2017 Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception RSS 2017 Bayesian Models of Data Streams with Hierarchical Power Priors ICML 2017 Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract) IJCAI 2017 Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting NeurIPS 2017 ChoiceRank: Identifying Preferences from Node Traffic in Networks ICML 2017 Classical Generalized Probabilistic Satisfiability IJCAI 2017 Coarse-to-Fine Lifted MAP Inference in Computer Vision IJCAI 2017 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution JMLR 2017 Collapsed variational Bayes for Markov jump processes NeurIPS 2017 Complementary Sum Sampling for Likelihood Approximation in Large Scale Classification AISTATS 2017 Convolutional Gaussian Processes NeurIPS 2017 Curriculum Learning Based Probabilistic Linear Discriminant Analysis for Noise Robust Speaker Recognition Interspeech 2017 Deep Dynamic Poisson Factorization Model NeurIPS 2017 Detecting Perspectives in Political Debates EMNLP 2017 Distribution of Gaussian Process Arc Lengths AISTATS 2017 DNN-SPACE: DNN-HMM-Based Generative Model of Voice F0Contours for Statistical Phrase/Accent Command Estimation Interspeech 2017 Dynamic Collaborative Filtering With Compound Poisson Factorization AISTATS 2017 Dynamic Importance Sampling for Anytime Bounds of the Partition Function NeurIPS 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 Efficient Inference for Untied MLNs IJCAI 2017 Efficient Weighted Model Integration via SMT-Based Predicate Abstraction IJCAI 2017 Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach NeurIPS 2017 Exact Inference for Integer Latent-Variable Models ICML 2017