Margossian, Charles C.
- Bayesian Workflow
2020/11/03 by Andrew Gelman, Aki Vehtari, Gelman, Andrew +18 · 5 voices · 32 citations
Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Scientific Computing and Data Management #Data Quality and Management
- Adaptive Tuning for Metropolis Adjusted Langevin Trajectories
2022/10/21 by Lionel Riou-Durand, Pavel Sountsov, Riou-Durand, Lionel +7 · 4 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Statistical Methods and Bayesian Inference
- Amortized Variational Inference: When and Why?
2023/07/20 by Charles C. Margossian, Margossian, Charles C., David M. Blei +1 · 4 citations
Arts and Humanities · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Philosophy and History of Science
- Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
2024/10/14 by Charles C. Margossian, Margossian, Charles C., Lawrence K. Saul +1 · 2 voices · 3 citations
Physics and Astronomy · Psychology · Social Sciences · #Opinion Dynamics and Social Influence #Cultural Differences and Values #Computational and Text Analysis Methods
- Bayesian workflow for disease transmission modeling in Stan
2020/05/23 by Grinsztajn, Léo, Semenova, Elizaveta, Margossian, Charles C. +1 · 2 citations
#Applications (stat.AP) #Computation (stat.CO) #FOS: Biological sciences #FOS: Computer and information sciences #Quantitative Methods (q-bio.QM)
- EigenVI: score-based variational inference with orthogonal function expansions
2024/10/31 by Diana Cai, Cai, Diana, Chirag Modi +10 · 2 voices · 5 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis
- Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs
2024/03/20 by Charles C. Margossian, Loucas Pillaud‐Vivien, Margossian, Charles C. +4 · 1 voice · 3 citations
Computer Science · Physics and Astronomy · #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #cs.LG #stat.CO #stat.ML
- Batch and match: black-box variational inference with a score-based divergence
2024/02/22 by Cai, Diana, Modi, Chirag, Pillaud-Vivien, Loucas +4 · 4 citations
#Artificial Intelligence (cs.AI) #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Efficient Automatic Differentiation of Implicit Functions
2021/12/28 by Charles C. Margossian, Michael Betancourt, Margossian, Charles C. +1 · 1 citation
Computer Science · Engineering · Mathematics · #Advanced Control Systems Optimization #Advanced Optimization Algorithms Research #Computation (stat.CO) #FOS: Computer and information sciences #Numerical Methods and Algorithms
- Efficient Sampling for Ising and Potts Models using Auxiliary Gaussian Variables
2021/10/20 by Charles C. Margossian, Margossian, Charles C., Sumit Mukherjee +2 · 1 citation
Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #Computation (stat.CO) #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Opinion Dynamics and Social Influence #Theoretical and Computational Physics
- Flexible and efficient Bayesian pharmacometrics modeling using Stan and Torsten, Part I
2021/09/21 by Margossian, Charles C., Zhang, Yi, Gillespie, William R. · 1 citation
#Applications (stat.AP) #FOS: Computer and information sciences
- For how many iterations should we run Markov chain Monte Carlo?
2023/11/05 by Margossian, Charles C., Gelman, Andrew · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences
- Listening to the Noise: Blind Denoising with Gibbs Diffusion
2024/02/29 by Heurtel-Depeiges, David, Margossian, Charles C., Ohana, Ruben +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
- CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning
2025/07/04 by Ningyuan Huang, Huang, Ningyuan, Richard Stiskalek +15 · 2 citations
Computer Science · #Computational Physics and Python Applications #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG)