Bayesian & Probabilistic

Diverse Image Captioning with Context-Object Split Latent Spaces NeurIPS 2020 Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020 Domain Adaptation as a Problem of Inference on Graphical Models NeurIPS 2020 Domain adaptation model for retinopathy detection from cross-domain OCT images MIDL 2020 Domain-Liftability of Relational Marginal Polytopes AISTATS 2020 Do sequence-to-sequence VAEs learn global features of sentences? EMNLP 2020 Double-Loop Unadjusted Langevin Algorithm ICML 2020 Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables ICML 2020 Dynamic content based ranking AISTATS 2020 Dynamic Control of Probabilistic Simple Temporal Networks AAAI 2020 Dynamic Embedding on Textual Networks via a Gaussian Process AAAI 2020 Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains NeurIPS 2020 Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables JMLR 2020 Efficient Low Rank Gaussian Variational Inference for Neural Networks NeurIPS 2020 Efficiently sampling functions from Gaussian process posteriors ICML 2020 Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations ICML 2020 Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020 Efficient Probabilistic Logic Reasoning with Graph Neural Networks ICLR 2020 Efficient Rollout Strategies for Bayesian Optimization UAI 2020 Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits ICML 2020 Enriched mixtures of generalised Gaussian process experts AISTATS 2020 Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability AISTATS 2020 Ensembling geophysical models with Bayesian Neural Networks NeurIPS 2020 Error-Correcting and Verifiable Parallel Inference in Graphical Models AAAI 2020 Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data NeurIPS 2020