posterior estimation

Gradient Origin Networks ICLR 2021 Model Selection for Bayesian Autoencoders NeurIPS 2021 Sequential core-set Monte Carlo UAI 2021 Unsupervised Bayesian Adaptation of PLDA for Speaker Verification Interspeech 2021 Adversarial Robustness Guarantees for Classification with Gaussian Processes AISTATS 2020 Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation UAI 2020 Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NeurIPS 2020 Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models IJCAI 2019 Variational Bayesian Phylogenetic Inference ICLR 2019 XBART: Accelerated Bayesian Additive Regression Trees AISTATS 2019 Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN ACML 2018 Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NeurIPS 2018 Bayesian Markov Blanket Estimation AISTATS 2016 Estimating the class prior and posterior from noisy positives and unlabeled data NeurIPS 2016 Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits NeurIPS 2013 Orderless Tracking through Model-Averaged Posterior Estimation ICCV 2013 Variational Inference for Diffusion Processes NeurIPS 2007 Particle Filtering for Nonparametric Bayesian Matrix Factorization NeurIPS 2006