11 citations · 33 across the 9 of their papers we have counts for
3 papers · 1 filter
Statistical inverse learning and -regularization
Abhishake Rastogi, Tatiana A. Bubba, Tapio Helin +1
We study the recovery of sparse functions from finite, noisy, and indirect observations in the framework of statistical inverse learning. The unknown is modeled as an element of $\…
Manifold regularization based on Nystr{ö}m type subsampling
Abhishake Rastogi, Sivananthan Sampath
In this paper, we study the Nystr{ö}m type subsampling for large scale kernel methods to reduce the computational complexities of big data. We discuss the multi-penalty regularizat…
Optimal rates for the regularized learning algorithms under general source condition
Abhishake Rastogi, Sivananthan Sampath
We consider the learning algorithms under general source condition with the polynomial decay of the eigenvalues of the integral operator in vector-valued function setting. We discu…