Abhishek Chakrabortty

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20172025

most citedEfficient and Adaptive Linear Regression in Semi-Supervised Settings

86 citations · 203 across the 12 of their papers we have counts for

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math.ST2025

Tail Bounds for Canonical $U$ -Statistics and $U$ -Processes with Unbounded Kernels

Abhishek Chakrabortty, Arun K. Kuchibhotla

In this paper, we prove exponential tail bounds for canonical (or degenerate) $U$ -statistics and $U$ -processes under exponential-type tail assumptions on the kernels. Most of the e…

math.ST2018★ 65 cited

Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression

Arun Kumar Kuchibhotla, Abhishek Chakrabortty

Concentration inequalities form an essential toolkit in the study of high dimensional (HD) statistical methods. Most of the relevant statistics literature in this regard is based o…

Tail Bounds for Canonical U-Statistics and U-Processes with Unbounded Kernels

Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression

Tail Bounds for Canonical $U$ -Statistics and $U$ -Processes with Unbounded Kernels