1 code implementation • 11 Oct 2023 • Saptarshi Roy, Zehua Wang, Ambuj Tewari
We consider the problem of model selection in a high-dimensional sparse linear regression model under privacy constraints.
no code implementations • 16 Jan 2023 • Saptarshi Roy, Ambuj Tewari, Ziwei Zhu
Furthermore, we show that a margin condition depending on similar margin quantity and complexity measures is also necessary for model consistency of BSS.
no code implementations • 9 Jan 2023 • Saptarshi Roy, Amit Mitra, N K Archak
Estimation of the parameters of a 2-dimensional sinusoidal model is a fundamental problem in digital signal processing and time series analysis.
1 code implementation • 11 Nov 2022 • Sunrit Chakraborty, Saptarshi Roy, Ambuj Tewari
We consider the stochastic linear contextual bandit problem with high-dimensional features.
1 code implementation • 7 Jun 2022 • Subha Maity, Saptarshi Roy, Songkai Xue, Mikhail Yurochkin, Yuekai Sun
The benefits of overparameterization for the overall performance of modern machine learning (ML) models are well known.
no code implementations • 9 Feb 2021 • Rivu Gupta, Saptarshi Roy, Shiladitya Mal, Aditi Sen De
Characterizing multipartite quantum correlations beyond two parties is of utmost importance for building cutting edge quantum technologies, although the comprehensive picture is still missing.
Quantum Physics
no code implementations • 22 Dec 2020 • Saptarshi Roy, Asmita Kumari, Shiladitya Mal, Aditi Sen De
Robustness in the violation of Collins-Linden-Gisin-Masser-Popescu (CGLMP) inequality is investigated from the dual perspective of noise in measurements as well as in states.
Quantum Physics