Mixture weights optimisation for Alpha-Divergence Variational Inference. - Kamélia Daudel; Randal Douc (NeurIPS, 2021)

Monotonic Alpha-divergence Minimisation. - Kamélia Daudel; Randal Douc; François Roueff (CoRR, 2021)

Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics. - Kamélia Daudel; Joe Benton; Yuyang Shi 002; Arnaud Doucet (J. Mach. Learn. Res., 2023)

Monotonic Alpha-divergence Minimisation for Variational Inference. - Kamélia Daudel; Randal Douc; François Roueff (J. Mach. Learn. Res., 2023)

Learning with Importance Weighted Variational Inference: Asymptotics for Gradient Estimators of the VR-IWAE Bound. - Kamélia Daudel; François Roueff (CoRR, 2024)