Kshiteej Sheth

19 papers A* 4B 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Sublinear Time Low-Rank Approximation of Hankel Matrices.
SODA
Michael Kapralov, Cameron Musco, Kshiteej Sheth
2025 J jnl
BalanceKV: KV Cache Compression through Discrepancy Theory.
CoRR
Insu Han, Michael Kapralov, Ekaterina Kochetkova, Kshiteej Sheth, Amir Zandieh
2025 A* conf
Improved Algorithms for Kernel Matrix-Vector Multiplication Under Sparsity Assumptions.
ICLR
Piotr Indyk, Michael Kapralov, Kshiteej Sheth, Tal Wagner
2025 J jnl
Improved Algorithms for Kernel Matrix-Vector Multiplication Under Sparsity Assumptions.
CoRR
Piotr Indyk, Michael Kapralov, Kshiteej Sheth, Tal Wagner
2025 J jnl
Sublinear Time Low-Rank Approximation of Hankel Matrices.
CoRR
Michael Kapralov, Cameron Musco, Kshiteej Sheth
2024 A* conf
Sublinear Time Low-Rank Approximation of Toeplitz Matrices.
SODA
Cameron Musco, Kshiteej Sheth
2024 J jnl
Sublinear Time Low-Rank Approximation of Toeplitz Matrices.
CoRR
Cameron Musco, Kshiteej Sheth
2023 A* conf
Toeplitz Low-Rank Approximation with Sublinear Query Complexity.
SODA
Michael Kapralov, Hannah Lawrence, Mikhail Makarov, Cameron Musco, Kshiteej Sheth
2022 J jnl
Fair colorful k-center clustering.
Math. Program.
Xinrui Jia, Kshiteej Sheth, Ola Svensson
2022 J jnl
Toeplitz Low-Rank Approximation with Sublinear Query Complexity.
CoRR
Michael Kapralov, Hannah Lawrence, Mikhail Makarov, Cameron Musco, Kshiteej Sheth
2022 — conf
Towards Non-Uniform
SOSA
Xinrui Jia, Lars Rohwedder, Kshiteej Sheth, Ola Svensson
2021 J jnl
Towards Non-Uniform k-Center with Constant Types of Radii.
CoRR
Xinrui Jia, Lars Rohwedder, Kshiteej Sheth, Ola Svensson
2020 B conf
Fair Colorful k-Center Clustering.
IPCO
Xinrui Jia, Kshiteej Sheth, Ola Svensson
2020 J jnl
Fair Colorful k-Center Clustering.
CoRR
Xinrui Jia, Kshiteej Sheth, Ola Svensson
2019 J jnl
Improved linear embeddings via Lagrange duality.
Mach. Learn.
Kshiteej Sheth, Dinesh Garg, Anirban Dasgupta
2017 J jnl
Deep-Learnt Classification of Light Curves.
CoRR
Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke, Akshay Pai, S. George Djorgovski, Andrew J. Drake, Matthew J. Graham
2017 — conf
Deep-learnt classification of light curves.
SSCI
Ashish Mahabal, Kshiteej Sheth, Fabian Gieseke, Akshay Pai, S. George Djorgovski, Andrew J. Drake, Matthew J. Graham
2017 J jnl
Improved Linear Embeddings via Lagrange Duality.
CoRR
Kshiteej Sheth, Dinesh Garg, Anirban Dasgupta
2016 J jnl
Deep Neural Networks for HDR imaging.
CoRR
Kshiteej Sheth