Multi-penalty regularization in learning theory. - Abhishake Rastogi; Sivananthan Sampath (J. Complex., 2016)

Manifold regularization based on Nystr{ö}m type subsampling. - Abhishake Rastogi; Sivananthan Sampath (CoRR, 2017)

Optimal Rates for the Regularized Learning Algorithms under General Source Condition. - Abhishake Rastogi; Sivananthan Sampath (Frontiers Appl. Math. Stat., 2017)

Multi-task learning via linear functional strategy. - Abhishake Rastogi; Sivananthan Sampath (J. Complex., 2017)

Statistical Inverse Problems in Hilbert Scales. - Abhishake Rastogi (CoRR, 2022)

Inverse learning in Hilbert scales. - Abhishake Rastogi; Peter Mathé (Mach. Learn., 2023)

Nonlinear Tikhonov regularization in Hilbert scales for inverse learning. - Abhishake Rastogi (J. Complex., 2024)