Charles C. Margossian

14 papers A* 1A 2Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning.
CoRR
Ningyuan Huang, Richard Stiskalek, Jun-Young Lee, Adrian E. Bayer, Charles C. Margossian, Christian Kragh Jespersen, Lucia A. Perez, Lawrence K. Saul, Francisco Villaescusa-Navarro
2025 J jnl
Generalized Guarantees for Variational Inference in the Presence of Even and Elliptical Symmetry.
CoRR
Charles C. Margossian, Lawrence K. Saul
2025 J jnl
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs.
J. Mach. Learn. Res.
Charles C. Margossian, Loucas Pillaud-Vivien, Lawrence K. Saul
2024 A conf
Amortized Variational Inference: When and Why?
UAI
Charles C. Margossian, David M. Blei
2024 J jnl
An Ordering of Divergences for Variational Inference with Factorized Gaussian Approximations.
CoRR
Charles C. Margossian, Loucas Pillaud-Vivien, Lawrence K. Saul
2024 J jnl
Batch and match: black-box variational inference with a score-based divergence.
CoRR
Diana Cai, Chirag Modi, Loucas Pillaud-Vivien, Charles C. Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul
2024 J jnl
EigenVI: score-based variational inference with orthogonal function expansions.
CoRR
Diana Cai, Chirag Modi, Charles C. Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul
2024 J jnl
Listening to the Noise: Blind Denoising with Gibbs Diffusion.
CoRR
David Heurtel-Depeiges, Charles C. Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard
2024 J jnl
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix.
CoRR
Charles C. Margossian, Lawrence K. Saul
2023 J jnl
Amortized Variational Inference: When and Why?
CoRR
Charles C. Margossian, David M. Blei
2023 A conf
The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference.
UAI
Charles C. Margossian, Lawrence K. Saul
2020 A* conf
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond.
NeurIPS
Charles C. Margossian, Aki Vehtari, Daniel Simpson, Raj Agrawal
2019 J jnl
A review of automatic differentiation and its efficient implementation.
WIREs Data Mining Knowl. Discov.
Charles C. Margossian
2018 J jnl
A Review of automatic differentiation and its efficient implementation.
CoRR
Charles C. Margossian