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Charles C. Margossian
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2020 – today
- 2024
- [c6]Diana Cai, Chirag Modi, Loucas Pillaud-Vivien, Charles Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul:
Batch and match: black-box variational inference with a score-based divergence. ICML 2024 - [c5]David Heurtel-Depeiges, Charles Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard:
Listening to the noise: Blind Denoising with Gibbs Diffusion. ICML 2024 - [i8]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 abs/2402.14758 (2024) - [i7]David Heurtel-Depeiges, Charles C. Margossian, Ruben Ohana, Bruno Régaldo-Saint Blancard:
Listening to the Noise: Blind Denoising with Gibbs Diffusion. CoRR abs/2402.19455 (2024) - [i6]Charles C. Margossian, Loucas Pillaud-Vivien, Lawrence K. Saul:
An Ordering of Divergences for Variational Inference with Factorized Gaussian Approximations. CoRR abs/2403.13748 (2024) - [i5]Charles C. Margossian, Lawrence K. Saul:
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix. CoRR abs/2410.11067 (2024) - [i4]Diana Cai, Chirag Modi, Charles C. Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul:
EigenVI: score-based variational inference with orthogonal function expansions. CoRR abs/2410.24054 (2024) - 2023
- [c4]Lionel Riou-Durand, Pavel Sountsov, Jure Vogrinc, Charles Margossian, Sam Power:
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories. AISTATS 2023: 8102-8116 - [c3]Chirag Modi, Robert M. Gower, Charles Margossian, Yuling Yao, David M. Blei, Lawrence K. Saul:
Variational Inference with Gaussian Score Matching. NeurIPS 2023 - [c2]Charles C. Margossian, Lawrence K. Saul:
The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference. UAI 2023: 1358-1367 - [i3]Chirag Modi
, Charles Margossian, Yuling Yao, Robert M. Gower, David M. Blei, Lawrence K. Saul:
Variational Inference with Gaussian Score Matching. CoRR abs/2307.07849 (2023) - [i2]Charles C. Margossian, David M. Blei:
Amortized Variational Inference: When and Why? CoRR abs/2307.11018 (2023) - 2020
- [c1]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
2010 – 2019
- 2019
- [j1]Charles C. Margossian:
A review of automatic differentiation and its efficient implementation. WIREs Data Mining Knowl. Discov. 9(4) (2019) - 2018
- [i1]Charles C. Margossian:
A Review of automatic differentiation and its efficient implementation. CoRR abs/1811.05031 (2018)
Coauthor Index
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