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importance weighted autoencoder

9 papers

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Co-occurring keywords · papers mentioning both

variational inference (6) gradient estimator (3) reparameterization trick (2) evidence lower bound (2) generative model (2) spline approximation (1) deep latent variable model (1) neural image compression (1) pathwise estimator (1) self-normalized importance sampling (1)

Papers

Recursive Learning of Asymptotic Variational Objectives AISTATS 2025 Nonparametric Automatic Differentiation Variational Inference with Spline Approximation AISTATS 2024 Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics JMLR 2023 Multi-Sample Training for Neural Image Compression NeurIPS 2022 Automatic Differentiation Variational Inference with Mixtures AISTATS 2021 On casting importance weighted autoencoder to an EM algorithm to learn deep generative models AISTATS 2020 Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives ICLR 2019 MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets ICML 2019 Tighter Variational Bounds are Not Necessarily Better ICML 2018