bayesian inference

Renyi Differential Privacy Mechanisms for Posterior Sampling NeurIPS 2017 Robust and Scalable Bayes via a Median of Subset Posterior Measures JMLR 2017 Robust Asymmetric Bayesian Adaptive Matrix Factorization IJCAI 2017 Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017 Robust Probabilistic Modeling with Bayesian Data Reweighting ICML 2017 Robust Survey Aggregation with Student-t Distribution and Sparse Representation IJCAI 2017 Scalable Model Selection for Belief Networks NeurIPS 2017 Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization IJCAI 2017 Signal-based Bayesian Seismic Monitoring AISTATS 2017 Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection From Videos CVPR 2017 Speech Enhancement Using Bayesian Wavenet Interspeech 2017 Stochastic Bouncy Particle Sampler ICML 2017 Stochastic Gradient MCMC Methods for Hidden Markov Models ICML 2017 Stochastic Online Anomaly Analysis for Streaming Time Series IJCAI 2017 Student-t Process Regression with Student-t Likelihood IJCAI 2017 Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis JMLR 2017 Tractability in Structured Probability Spaces NeurIPS 2017 Variational Bayesian Multiple Instance Learning With Gaussian Processes CVPR 2017 Variational Dropout Sparsifies Deep Neural Networks ICML 2017 Variational Inference for Sparse and Undirected Models ICML 2017 A Bayesian method for reducing bias in neural representational similarity analysis NeurIPS 2016 A Bayesian model for joint word alignment and part-of-speech transfer COLING 2016 A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors JMLR 2016 An Empirical-Bayes Score for Discrete Bayesian Networks PGM 2016 An equivalence between high dimensional Bayes optimal inference and M-estimation NeurIPS 2016