Charles C Margossian

About Charles C Margossian

Charles C Margossian, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of bayesian statistics, pharmacometrics.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Ordering of Divergences for Variational Inference with Factorized Gaussian Approximations

Listening to the Noise: Blind Denoising with Gibbs Diffusion

Batch and match: black-box variational inference with a score-based divergence

Variational Inference with Gaussian Score Matching

Gaussian Variational Approximations for High-dimensional State Space Models......................................... M. Quiroz, DJ Nott, and R. Kohn 989 Post-Processed …

For how many iterations should we run Markov chain Monte Carlo?

Fast methods for posterior inference of two-group normal-normal models

Amortized Variational Inference: When and Why?

Charles C Margossian Information

University

Position

PhD candidate in Statistics

Citations(all)

1003

Citations(since 2020)

956

Cited By

254

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

9

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Charles C Margossian Skills & Research Interests

bayesian statistics

pharmacometrics

Top articles of Charles C Margossian

An Ordering of Divergences for Variational Inference with Factorized Gaussian Approximations

arXiv preprint arXiv:2403.13748

2024/3/20

Listening to the Noise: Blind Denoising with Gibbs Diffusion

International Conference on Machine Learning (ICML) 2024

2024/2/29

Charles C Margossian
Charles C Margossian

H-Index: 7

Ruben Ohana
Ruben Ohana

H-Index: 1

Batch and match: black-box variational inference with a score-based divergence

arXiv preprint arXiv:2402.14758

2024/2/22

Variational Inference with Gaussian Score Matching

Advances in Neural Information Processing Systems

2024/2/13

Gaussian Variational Approximations for High-dimensional State Space Models......................................... M. Quiroz, DJ Nott, and R. Kohn 989 Post-Processed …

Bayesian Analysis

2023

For how many iterations should we run Markov chain Monte Carlo?

arXiv preprint arXiv:2311.02726

2023/11/5

Charles C Margossian
Charles C Margossian

H-Index: 7

Andrew Gelman
Andrew Gelman

H-Index: 31

Fast methods for posterior inference of two-group normal-normal models

Bayesian Analysis

2023/9

Amortized Variational Inference: When and Why?

arXiv preprint arXiv:2307.11018

2023/7/20

Charles C Margossian
Charles C Margossian

H-Index: 7

The shrinkage-delinkage trade-off: An analysis of factorized gaussian approximations for variational inference

2023/7/2

Charles C Margossian
Charles C Margossian

H-Index: 7

Lawrence K Saul
Lawrence K Saul

H-Index: 34

General adjoint-differentiated Laplace approximation

arXiv preprint arXiv:2306.14976

2023/6/26

Charles C Margossian
Charles C Margossian

H-Index: 7

Adaptive tuning for Metropolis adjusted Langevin trajectories

2023/4/11

Flexible and efficient Bayesian pharmacometrics modeling using Stan and Torsten, Part I

CPT: Pharmacometrics & Systems Pharmacology

2022/9

Charles C Margossian
Charles C Margossian

H-Index: 7

Yi Zhang
Yi Zhang

H-Index: 13

Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling

2022

Charles C Margossian
Charles C Margossian

H-Index: 7

Efficient automatic differentiation of implicit functions

arXiv preprint arXiv:2112.14217

2021/12/28

Charles C Margossian
Charles C Margossian

H-Index: 7

Bayesian workflow for disease transmission modeling in Stan

Statistics in medicine

2021/11/30

Nested : Assessing the convergence of Markov chain Monte Carlo when running many short chains

arXiv preprint arXiv:2110.13017

2021/10/25

Simulating Ising and Potts models at critical and cold temperatures using auxiliary Gaussian variables

arXiv preprint arXiv:2110.10801

2021/10/20

Charles C Margossian
Charles C Margossian

H-Index: 7

Sumit Mukherjee
Sumit Mukherjee

H-Index: 1

Solving ODEs in a Bayesian context: challenges and opportunities

2021/9

Estimation of SARS-CoV-2 mortality during the early stages of an epidemic: A modeling study in Hubei, China, and six regions in Europe

PLoS Medicine

2020

See List of Professors in Charles C Margossian University(Columbia University in the City of New York)