Charles C. Margossian

According to our database1, Charles C. Margossian authored at least 9 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
An Ordering of Divergences for Variational Inference with Factorized Gaussian Approximations.
CoRR, 2024

Listening to the noise: Blind Denoising with Gibbs Diffusion.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Batch and match: black-box variational inference with a score-based divergence.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Amortized Variational Inference: When and Why?
CoRR, 2023

The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Variational Inference with Gaussian Score Matching.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Tuning for Metropolis Adjusted Langevin Trajectories.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2020
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
A review of automatic differentiation and its efficient implementation.
WIREs Data Mining Knowl. Discov., 2019


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