bayesian inference

LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations ICML 2019 Meta Architecture Search NeurIPS 2019 Meta-Learning For Stochastic Gradient MCMC ICLR 2019 Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation ACML 2019 Multilingual Factor Analysis ACL 2019 Mutually Regressive Point Processes NeurIPS 2019 Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments ICML 2019 On Asymptotic and Finite-Time Optimality of Bayesian Predictors JMLR 2019 Online Probabilistic Goal Recognition over Nominal Models IJCAI 2019 Online sampling from log-concave distributions NeurIPS 2019 Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation NeurIPS 2019 Orthogonality-Promoting Dictionary Learning via Bayesian Inference AAAI 2019 Parameter elimination in particle Gibbs sampling NeurIPS 2019 Probabilistic Model Checking of Robots Deployed in Extreme Environments AAAI 2019 Probabilistic Planning with Sequential Monte Carlo methods ICLR 2019 ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees ICLR 2019 Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions NeurIPS 2019 Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NeurIPS 2019 Pseudo-Extended Markov chain Monte Carlo NeurIPS 2019 Pyro: Deep Universal Probabilistic Programming JMLR 2019 Reparameterizing Distributions on Lie Groups AISTATS 2019 Rethinking the CSC Model for Natural Images NeurIPS 2019 Robustness Guarantees for Bayesian Inference with Gaussian Processes AAAI 2019 Rotation Invariant Householder Parameterization for Bayesian PCA ICML 2019 Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019