1.On the Convergence of Iterative Regularization Method Assisted by the Graph Laplacian with Early Stopping
H Bajpai, G Mittal, AK Giri
SIAM Journal on Imaging Science (Accepted).
2. Hanke-Raus heuristic rule for iteratively regularized stochastic gradient descent
H Bajpai, G Mittal, AK Giri
arXiv preprint arXiv:2412.02397, 2024 (Under Revision).
3. Graph Laplacian assisted regularization method under noise level free heuristic and statistical stopping rule
H Bajpai, AK Giri
Submitted (Under Review), 2025.
4. Stochastic data-driven Bouligand–Landweber method for solving non-smooth inverse problems
H Bajpai, G Mittal, AK Giri
Journal of Inverse and Ill-posed Problems, 33 (2), 153-170, 2025.
5. On the convergence of generalized iteratively regularized stochastic mirror descent method for non-smooth ill-posed problems
H Bajpai, G Mittal, AK Giri
Submitted (Under review), 2025
G Mittal, H Bajpai, AK Giri
Journal of Complexity, 86, 101897, 2025.
7. Convergence analysis of Kaczmarz-type iteratively regularized Landweber iteration for solving ill-posed inverse problems
G Mittal, H Bajpai, AK Giri
Journal of Complexity, 87, 101980, 2025.
G Mittal, H Bajpai, AK Giri
Computational and Applied Mathematics, 43 (8), 426.
1.On the convergence of graph Laplacian based regularization with application to phase retriveal problem
2. Adaptive stochastic block coordinate descent method with early stopping for linear ill-posed problems in Hilbert space