Publications

2026

Boost Like a (Var)Pro: Trust-Region Gradient Boosting via Variable Projection
A. Chowdhary, E. Newman, D. Verma
Preprint · arXiv:2603.23658

BibTeX
@misc{chowdhary2026boostlikevarprotrustregion,
  title          = {Boost Like a (Var)Pro: Trust-Region Gradient Boosting via Variable Projection},
  author         = {Chowdhary, Abhijit and Newman, Elizabeth and Verma, Deepanshu},
  year           = {2026},
  eprint         = {2603.23658},
  archiveprefix  = {arXiv},
  primaryclass   = {cs.LG},
  url            = {https://arxiv.org/abs/2603.23658},
}

Robust Optimal Experimental Design of Infinite-Dimensional Bayesian Nonlinear Inverse Problems
A. Chowdhary, A. Attia, A. Alexanderian
SIAM Journal on Scientific Computing, 48(2), B262–B288 · DOI · arXiv:2409.09137

BibTeX
@article{Chowdhary_Attia_Alexanderian_2026,
  title          = {Robust Optimal Experimental Design of Infinite-Dimensional Bayesian Nonlinear Inverse Problems},
  author         = {Chowdhary, Abhijit and Attia, Ahmed and Alexanderian, Alen},
  journal        = {SIAM Journal on Scientific Computing},
  volume         = {48},
  number         = {2},
  pages          = {B262–B288},
  year           = {2026},
  month          = {April},
  doi            = {10.1137/24M1693921},
  url            = {https://epubs.siam.org/doi/10.1137/24M1693921},
  issn           = {1064-8275, 1095-7197},
}

2025

Weak Diffusive Stability of Roll Solutions at the Zigzag Boundary
A. Chowdhary, M. Haberle, W. Ofori-Atta, Q. Wu
SIAM Journal on Mathematical Analysis, 57(3), 2746-2780 · DOI · arXiv:2310.12365

BibTeX
@article{Chowdhary_Haberle_Ofori-atta_Wu_2023,
  title          = {Weak Diffusive Stability of Roll Solutions at the Zigzag Boundary},
  author         = {Chowdhary, Abhijit and Haberle, Mason and Ofori-Atta, William and Wu , Qiliang},
  journal        = {SIAM Journal on Mathematical Analysis},
  volume         = {57},
  number         = {3},
  pages          = {2746-2780},
  year           = {2025},
  doi            = {10.1137/24M1639683},
  url            = {https://doi.org/10.1137/24M1639683},
}

Scalable Uncertainty Quantification for Infinite-Dimensional Bayesian Inverse Problems.
A. Chowdhary
PhD Thesis, · Link

BibTeX
@phdthesis{Chowdhary_2025,
  title          = {Scalable Uncertainty Quantification for Infinite-Dimensional Bayesian Inverse Problems.},
  author         = {Chowdhary, Abhijit},
  year           = {2025},
  month          = {February},
  url            = {https://www.lib.ncsu.edu/resolver/1840.20/45106},
  type           = {{PhD} thesis},
}

2024

Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems
A. Chowdhary, S. Tong, G. Stadler, A. Alexanderian
International Journal for Uncertainty Quantification · DOI · arXiv:2310.16906

BibTeX
@article{Chowdhary_Tong_Stadler_Alexanderian_2024,
  title          = {Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems},
  author         = {Chowdhary, Abhijit and Tong, Shanyin and Stadler, Georg and Alexanderian, Alen},
  journal        = {International Journal for Uncertainty Quantification},
  year           = {2024},
  doi            = {10.1615/Int.J.UncertaintyQuantification.2024051416},
  url            = {http://dl.begellhouse.com/journals/52034eb04b657aea,forthcoming, 51416.html},
  issn           = {2152-5080},
}

PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments
A. Chowdhary, S. E. Ahmed, A. Attia
ACM Transactions on Mathematical Software, 50(2), 1-22 · DOI · arXiv:2301.08336

BibTeX
@article{Chowdhary_Ahmed_Attia_2024,
  title          = {PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments},
  author         = {Chowdhary, Abhijit and Ahmed, Shady E. and Attia, Ahmed},
  journal        = {ACM Transactions on Mathematical Software},
  volume         = {50},
  number         = {2},
  pages          = {1-22},
  year           = {2024},
  month          = {June},
  doi            = {10.1145/3653071},
  issn           = {0098-3500, 1557-7295},
}