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Bayesian & Probabilistic

5,407 papers (3 classified directly here)

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Papers (including subtopics)

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 Facial Analysis: From Bayesian Filtering to Recurrent Neural Network CVPR 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 Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling IJCAI 2017 Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach NeurIPS 2017 Evaluating Bayesian Models with Posterior Dispersion Indices ICML 2017 Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings EACL 2017 Exact Inference for Integer Latent-Variable Models ICML 2017 Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models NeurIPS 2017 Expectation Propagation for t-Exponential Family Using q-Algebra NeurIPS 2017 Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems NeurIPS 2017 Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract) IJCAI 2017 Fast amortized inference of neural activity from calcium imaging data with variational autoencoders NeurIPS 2017 Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization IJCAI 2017 Filtering Variational Objectives NeurIPS 2017 Flexible statistical inference for mechanistic models of neural dynamics NeurIPS 2017 Gauging Variational Inference NeurIPS 2017 Generalized Pólya Urn for Time-Varying Pitman-Yor Processes JMLR 2017 GibbsNet: Iterative Adversarial Inference for Deep Graphical Models NeurIPS 2017 GP CaKe: Effective brain connectivity with causal kernels NeurIPS 2017