Kshiteej Sheth

About Kshiteej Sheth

Kshiteej Sheth, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of Machine Learning, Randomized Algorithms.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sublinear Time Low-Rank Approximation of Toeplitz Matrices

Toeplitz Low-Rank Approximation with Sublinear Query Complexity

Towards Non-Uniform k-Center with Constant Types of Radii

Fair Colorful k-Center Clustering

Kshiteej Sheth Information

University

Position

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Citations(all)

127

Citations(since 2020)

119

Cited By

40

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Kshiteej Sheth Skills & Research Interests

Machine Learning

Randomized Algorithms

Top articles of Kshiteej Sheth

Sublinear Time Low-Rank Approximation of Toeplitz Matrices

2024

Cameron Musco
Cameron Musco

H-Index: 17

Kshiteej Sheth
Kshiteej Sheth

H-Index: 3

Toeplitz Low-Rank Approximation with Sublinear Query Complexity

2023

Towards Non-Uniform k-Center with Constant Types of Radii

2022

Fair Colorful k-Center Clustering

2020/4/14

See List of Professors in Kshiteej Sheth University(École Polytechnique Fédérale de Lausanne)

Co-Authors

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