Charles C. Margossian

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Variational Inference

Top Venues

WIREs Data Mining Knowl. Discov.

Publications

Diana Cai, Chirag Modi, Loucas Pillaud-Vivien, Charles C. Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul
Batch and match: black-box variational inference with a score-based divergence. CoRR (2024)
David Heurtel-Depeiges, Charles C. Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard
Listening to the Noise: Blind Denoising with Gibbs Diffusion. CoRR (2024)
Charles C. Margossian, Loucas Pillaud-Vivien, Lawrence K. Saul
An Ordering of Divergences for Variational Inference with Factorized Gaussian Approximations. CoRR (2024)
Charles C. Margossian, Lawrence K. Saul
The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference. UAI (2023)
Charles C. Margossian, David M. Blei
Amortized Variational Inference: When and Why? CoRR (2023)
Charles C. Margossian, Aki Vehtari, Daniel Simpson, Raj Agrawal
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond. NeurIPS (2020)
Charles C. Margossian
A review of automatic differentiation and its efficient implementation. WIREs Data Mining Knowl. Discov. 9 (4) (2019)
Charles C. Margossian
A Review of automatic differentiation and its efficient implementation. CoRR (2018)