Abhishake Rastogi. Nonlinear Tikhonov regularization in Hilbert scales for inverse learning. Journal of Complexity, 82 (2024) 101824.
Abhishake Rastogi and Peter Mathé. Inverse learning in Hilbert scales. Machine Learning, 112 (7), (2023) 2469-2499.
Niklas Hartung, Martin Wahl, Abhishake Rastogi, Wilhelm Huisinga. Nonparametric goodness-of-fit testing for parametric covariate models in pharmacometric analyses. CPT: Pharmacometrics & Systems Pharmacology, 10 (2021) 564-576.
Abhishake Rastogi, Gilles Blanchard and Peter Mathé. Convergence analysis of Tikhonov regularization for non-linear statistical inverse learning problems. Electronic Journal of Statistics, 14 (2) (2020) 2798-2841.
Abhishake Rastogi. Tikhonov regularization with oversmoothing penalty for nonlinear statistical inverse problems. Communications on Pure & Applied Analysis, 19 (8) (2020) 4111-4126.
Abhishake Rastogi and Sivananthan Sampath, Manifold regularization based on Nyström type subsampling, Applied and Computational Harmonic Analysis 49 (2020) 152-179.
Abhishake Rastogi. Tikhonov regularization with oversmoothing penalty for linear statistical inverse learning problems. AIP Conference Proceedings. Vol. 2183. No. 1. AIP Publishing LLC, 2019.
Abhishake Rastogi and Sivananthan Sampath, Multi-task learning via linear functional strategy, Journal of Complexity, 43 (2017) 51-75.
Abhishake Rastogi and Sivananthan Sampath, Optimal rates for the regularized learning algorithms under general source condition, Frontiers in Applied Mathematics and Statistics, 3:3 (2017) pp. 14.
Abhishake Rastogi and Sivananthan Sampath, Multi-penalty regularization in learning theory, Journal of Complexity, 36 (2016) 141-165.
