Kamélia Daudel

According to our database, Kamélia Daudel authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning with Importance Weighted Variational Inference: Asymptotics for Gradient Estimators of the VR-IWAE Bound.

Kamélia Daudel, François Roueff

CoRR, 2024

2023

Monotonic Alpha-divergence Minimisation for Variational Inference.

Kamélia Daudel, Randal Douc, François Roueff

J. Mach. Learn. Res., 2023

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

Kamélia Daudel, Joe Benton, Yuyang Shi, Arnaud Doucet

J. Mach. Learn. Res., 2023

2021

Monotonic Alpha-divergence Minimisation.

Kamélia Daudel, Randal Douc, François Roueff

CoRR, 2021

Mixture weights optimisation for Alpha-Divergence Variational Inference.

Kamélia Daudel, Randal Douc

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021