Bayesian Inference

Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification NeurIPS 2018 Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms ICML 2018 Discretely Relaxing Continuous Variables for tractable Variational Inference NeurIPS 2018 Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing ACML 2018 Distributed Multitask Reinforcement Learning with Quadratic Convergence NeurIPS 2018 Double Joint Bayesian Modeling of DNN Local I-Vector for Text Dependent Speaker Verification with Random Digit Strings Interspeech 2018 Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences NeurIPS 2018 Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback IJCAI 2018 Efficient and principled score estimation with Nyström kernel exponential families AISTATS 2018 Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes JMLR 2018 Efficient Bayesian Methods for Counting Processes in Partially Observable Environments AISTATS 2018 Efficient Gradient-Free Variational Inference using Policy Search ICML 2018 Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features NeurIPS 2018 Efficient inference for time-varying behavior during learning NeurIPS 2018 Efficient Localized Inference for Large Graphical Models IJCAI 2018 Efficiently Sampling from Underlying Models RSS 2018 Efficient Symbolic Integration for Probabilistic Inference IJCAI 2018 ELFI: Engine for Likelihood-Free Inference JMLR 2018 Embedded-State Latent Conditional Random Fields for Sequence Labeling CoNLL 2018 Embedding Words as Distributions with a Bayesian Skip-gram Model COLING 2018 Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors ICML 2018 Estimating Latent People Flow without Tracking Individuals IJCAI 2018 Estimation of the Number of Speakers with Variational Bayesian PLDA in the DIHARD Diarization Challenge. Interspeech 2018 Evidential Deep Learning to Quantify Classification Uncertainty NeurIPS 2018 Explaining Deep Learning Models -- A Bayesian Non-parametric Approach NeurIPS 2018