Bayesian Inference

Discriminative Bayesian Nonparametric Clustering IJCAI 2017 Distributed Batch Gaussian Process Optimization ICML 2017 Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server JMLR 2017 Distributional Modeling on a Diet: One-shot Word Learning from Text Only IJCNLP 2017 Domain Mismatch Modeling of Out-Domain i-Vectors for PLDA Speaker Verification Interspeech 2017 Doubly Stochastic Variational Inference for Deep Gaussian Processes NeurIPS 2017 DP-EM: Differentially Private Expectation Maximization AISTATS 2017 Dropout Inference in Bayesian Neural Networks with Alpha-divergences ICML 2017 Dynamic Collaborative Filtering With Compound Poisson Factorization AISTATS 2017 Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network CVPR 2017 Dynamic Time-Of-Flight CVPR 2017 Dynamic Word Embeddings ICML 2017 Effective Representing of Information Network by Variational Autoencoder IJCAI 2017 Efficient and Flexible Inference for Stochastic Systems NeurIPS 2017 Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision CoRL 2017 Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures CVPR 2017 Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes NeurIPS 2017 Efficient Sampling from Time-Varying Log-Concave Distributions JMLR 2017 Ensemble Sampling NeurIPS 2017 Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling IJCAI 2017 Estimation of the Probability Distribution of Spectral Fine Structure in the Speech Source Interspeech 2017 Evaluating Bayesian Models with Posterior Dispersion Indices ICML 2017 Event-Based Visual Inertial Odometry CVPR 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