Bayesian Inference

Reparameterizing the Birkhoff Polytope for Variational Permutation Inference AISTATS 2018 Representations of Bayesian networks by low-rank models PGM 2018 Representing Social Media Users for Sarcasm Detection EMNLP 2018 Robust and Scalable Models of Microbiome Dynamics ICML 2018 Robust Locally-Linear Controllable Embedding AISTATS 2018 Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018 Scalable Bayes via Barycenter in Wasserstein Space JMLR 2018 Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition AISTATS 2018 Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF) ICML 2018 Scalable Generalized Dynamic Topic Models AISTATS 2018 Scalar Posterior Sampling with Applications NeurIPS 2018 Scaling Gaussian Process Regression with Derivatives NeurIPS 2018 Scaling the Poisson GLM to massive neural datasets through polynomial approximations NeurIPS 2018 Scaling up Data Augmentation MCMC via Calibration JMLR 2018 Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes AISTATS 2018 Semi-Implicit Variational Inference ICML 2018 Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling NeurIPS 2018 Similarity Dependent Chinese Restaurant Process for Cognate Identification in Multilingual Wordlists CoNLL 2018 Simple, Distributed, and Accelerated Probabilistic Programming NeurIPS 2018 Simple Propagation with Arc-Reversal in Bayesian Networks PGM 2018 SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient NeurIPS 2018 Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels IJCAI 2018 Sound Abstraction and Decomposition of Probabilistic Programs ICML 2018 Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection ICML 2018 Sprucing up the trees – Error detection in treebanks COLING 2018