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Margossian, Charles C.

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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)
  6. 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
  7. 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
  8. 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)
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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)