Charles C. Margossian

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, David M. Blei, Margossian, Charles C. +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. Variational Inference with Gaussian Score Matching
   2023/07/15 by Chirag Modi, Modi, Chirag, Charles C. Margossian +9 · 4 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
6. EigenVI: score-based variational inference with orthogonal function expansions
   2024/10/31 by Diana Cai, Chirag Modi, Cai, Diana +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. Batch and match: black-box variational inference with a score-based divergence
   2024/02/22 by Diana Cai, Chirag Modi, Cai, Diana +11 · 5 citations
   Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Computation (stat.CO) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
8. Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs
   2024/03/20 by Charles C. Margossian, Loucas Pillaud‐Vivien, Loucas Pillaud-Vivien +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
9. Nested Rˆ: Assessing the Convergence of Markov Chain Monte Carlo When Running Many Short Chains
   2024/07/31 by Charles C. Margossian, Matthew D. Hoffman, Pavel Sountsov +3 · 1 voice · 2 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference
10. 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
11. 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
12. 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)