Adversarial $α$-divergence Minimization for Bayesian Approximate
Inference

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Adversarial $α$ -divergence Minimization for Bayesian Approximate Inference

13 September 2019

Simón Rodríguez Santana

Daniel Hernández-Lobato

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Papers citing "Adversarial $α$-divergence Minimization for Bayesian Approximate Inference"

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Title
Alpha Entropy Search for New Information-based Bayesian OptimizationKnowledge-Based Systems (KBS), 2024 Daniel Fernández-Sánchez Eduardo C. Garrido-Merchán Daniel Hernández-Lobato 264 2 0 25 Nov 2024
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and AsymptoticsJournal of machine learning research (JMLR), 2022 Kamélia Daudel Joe Benton Yuyang Shi Arnaud Doucet DRL 224 15 0 12 Oct 2022
Correcting Model Bias with Sparse Implicit Processes Simón Rodríguez Santana Luis A. Ortega Andrés Daniel Hernández-Lobato B. Zaldívar BDL 111 1 0 21 Jul 2022
Function-space Inference with Sparse Implicit Processes Simón Rodríguez Santana B. Zaldívar Daniel Hernández-Lobato 145 13 0 14 Oct 2021