Alpha-divergence Variational Inference Meets Importance Weighted
Auto-Encoders: Methodology and Asymptotics

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Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics

Journal of machine learning research (JMLR), 2022

12 October 2022

Kamélia Daudel

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Papers citing "Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics"

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Title
Generalized Guarantees for Variational Inference in the Presence of Even and Elliptical Symmetry C. Margossian Lawrence K. Saul 232 0 0 02 Nov 2025
Recursive Learning of Asymptotic Variational ObjectivesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Alessandro Mastrototaro Mathias Müller Jimmy Olsson 197 0 0 04 Nov 2024
Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling Jian Xu Shian Du Junmei Yang Qianli Ma Delu Zeng BDL 449 0 0 13 Aug 2024
Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits Ziyi Huang Henry Lam Haofeng Zhang 343 1 0 20 Jun 2024
Rényi Neural Processes Xuesong Wang He Zhao Edwin V. Bonilla UQCV BDL 434 0 0 25 May 2024
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs C. Margossian Loucas Pillaud-Vivien Lawrence K. Saul UD 522 6 0 20 Mar 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 219 10 0 15 Mar 2024
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 368 0 0 13 Mar 2024
Transport meets Variational Inference: Controlled Monte Carlo DiffusionsInternational Conference on Learning Representations (ICLR), 2023 Francisco Vargas Shreyas Padhy Denis Blessing Nikolas Nusken DiffM OT 777 13 0 03 Jul 2023