variational distribution

Censor Dependent Variational Inference ICML 2025 New Bounds for Sparse Variational Gaussian Processes ICML 2025 Bayesian Pseudo-Coresets via Contrastive Divergence UAI 2024 Semi-Implicit Variational Inference via Score Matching ICLR 2023 Topological Obstructions and How to Avoid Them NeurIPS 2023 Path-Gradient Estimators for Continuous Normalizing Flows ICML 2022 Cascaded Head-colliding Attention ACL 2021 Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020 Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation NeurIPS 2019 Importance Weighted Hierarchical Variational Inference NeurIPS 2019 Auxiliary Deep Generative Models ICML 2016 Hierarchical Variational Models ICML 2016 Local Expectation Gradients for Black Box Variational Inference NeurIPS 2015 Automated Variational Inference for Gaussian Process Models NeurIPS 2014