Co-occurring keywords · papers mentioning both
Papers
The VampPrior Mixture Model
AISTATS 2025
How to deal with missing data in supervised deep learning?
ICLR 2022
Identifiability of deep generative models without auxiliary information
NeurIPS 2022
A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models
NeurIPS 2021
Monte Carlo Variational Auto-Encoders
ICML 2021
not-MIWAE: Deep Generative Modelling with Missing not at Random Data
ICLR 2021
On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models
AISTATS 2021
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization
NeurIPS 2020
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets
ICML 2019
Leveraging the Exact Likelihood of Deep Latent Variable Models
NeurIPS 2018