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Vadim Sokolov

George Mason University (from arXiv:2301.00251, 2022) · ORCID · OpenAlex

23 papers in scope · 22 published · 1 on the econ.EM arXiv · 1,302 citations · h-index 7 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Kevin Li
  2. Christian Hansen
  3. Daniel Jacob
  4. Victor Chernozhukov
  5. Susan Athey
  6. Martin Spindler
  7. Ye Luo
  8. Maria Nareklishvili
  9. Xinkun Nie
  10. Nicholas G. Polson
  11. Guido W. Imbens
  12. Aldo Gael Carranza
  13. Daniel Chen
  14. Ruoxuan Xiong
  15. Alexandre Belloni
  16. Stefan Wager
  17. Yang Xue-lin
  18. Michael I. Jordan
  19. Licong Lin
  20. Nichole Austin

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 23)

Generative AI for Bayesian Computation
published2025 · Entropy · 1 citations · first circulated 2023
with Nick Polson, Nicholas G. Polson
Entropy
Kolmogorov GAM Networks Are All You Need!
published2025 · Entropy · 2 citations
with Sarah Polson
Entropy
Negative Probability
published2025 · Applied Stochastic Models in Business and Industry · 2 citations · first circulated 2024
with Nick Polson
Applied Stochastic Models in Business and Industry
Generative Bayesian Computation for Maximum Expected Utility
published2024 · Entropy · 1 citations
with Nick Polson, Fabrizio Ruggeri
Entropy
Merging two cultures: Deep and statistical learning
published2024 · Wiley Interdisciplinary Reviews Computational Statistics · 4 citations · first circulated 2021
with Anindya Bhadra, Jyotishka Datta, Nicholas G. Polson, Jianeng Xu, Nick Polson
Wiley Interdisciplinary Reviews Computational Statistics
On the Value of Chess Squares
published2023 · Entropy · 3 citations
with Aditya Gupta, Shiva Maharaj, Nicholas Polson
Entropy
Deep generative models for vehicle speed trajectories
published2023 · Applied Stochastic Models in Business and Industry · first circulated 2021
with Farnaz Behnia, Dominik Karbowski
Applied Stochastic Models in Business and Industry
Quantum Bayesian computation
published2023 · Applied Stochastic Models in Business and Industry · 3 citations · first circulated 2022
with Nick Polson, Jianeng Xu
Applied Stochastic Models in Business and Industry
Deep partial least squares for instrumental variable regression
published2023 · Applied Stochastic Models in Business and Industry · 2 citations · first circulated 2022
with Maria Nareklishvili, Nicholas Polson
Applied Stochastic Models in Business and Industry
On the probability of Magnus Carlsen reaching 2900
published2023 · Applied Stochastic Models in Business and Industry · first circulated 2022
with Sohan Bendre, Shiva Maharaj, Nick Polson
Applied Stochastic Models in Business and Industry
Feature Selection for Personalized Policy Analysis
working paper2022 · arXiv
with Maria Nareklishvili, Nicholas Polson
Paper profile arXiv arXiv:2301.00251
Data Augmentation for Bayesian Deep Learning
published2022 · Bayesian Analysis · 6 citations
with Yuexi Wang, Nicholas Polson
Bayesian Analysis
Analyzing Stochastic Computer Models: A Review with Opportunities
published2022 · Statistical Science · 56 citations · first circulated 2020
with Evan Baker, Pierre Barbillon, Arindam Fadikar, Robert B. Gramacy, Radu Herbei, David Higdon, Jiangeng Huang, Leah R. Johnson, Pulong Ma, Anirban Mondal, Bianica Pires, Jerome Sacks, …
Statistical Science
Discussion of “Multivariate generalized hyperbolic laws for modeling financial log‐returns—Empirical and theoretical considerations”
published2020 · Applied Stochastic Models in Business and Industry
Applied Stochastic Models in Business and Industry
Deep learning: Computational aspects
published2020 · Wiley Interdisciplinary Reviews Computational Statistics
with Nicholas Polson
Wiley Interdisciplinary Reviews Computational Statistics
Deep learning for energy markets
published2020 · Applied Stochastic Models in Business and Industry
with Michael Polson
Applied Stochastic Models in Business and Industry
Deep Learning
published2019 · Wiley StatsRef: Statistics Reference Online · 4 citations · first circulated 2018
with Nicholas G. Polson
Wiley StatsRef: Statistics Reference Online
Bayesian regularization: From Tikhonov to horseshoe
published2019 · Wiley Interdisciplinary Reviews Computational Statistics · 41 citations
with Nicholas G. Polson
Wiley Interdisciplinary Reviews Computational Statistics
Deep learning for spatio‐temporal modeling: Dynamic traffic flows and high frequency trading
published2018 · Applied Stochastic Models in Business and Industry · 15 citations · first circulated 2017
with Matthew Dixon, Nicholas G. Polson
Applied Stochastic Models in Business and Industry
Deep Learning: A Bayesian Perspective
published2017 · Bayesian Analysis · 122 citations
with Nicholas G. Polson
Bayesian Analysis
Deep learning for short-term traffic flow prediction
published2017 · Transportation Research Part C Emerging Technologies · 1013 citations
with Nicholas G. Polson
Transportation Research Part C Emerging Technologies
Discussion of ‘Deep learning for finance: deep portfolios’
published2017 · Applied Stochastic Models in Business and Industry · 13 citations
Applied Stochastic Models in Business and Industry
POLARIS: Agent-based modeling framework development and implementation for integrated travel demand and network and operations simulations
published2015 · Transportation Research Part C Emerging Technologies · 14 citations
with Joshua Auld, Michael A. Hope, Hubert Ley, Bo Xu, Kuilin Zhang
Transportation Research Part C Emerging Technologies

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.