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20182026
most citedVariational Inference in high-dimensional linear regression

9 citations · 21 across the 24 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

quant-ph20231 cited

Device-independent certification of degeneracy-breaking measurements

Prabuddha Roy, Shyam Sundar Mahato, Sumit Mukherjee +1

In a device-independent Bell test, the devices are considered to be black boxes and the dimension of the system remains unspecified. The dichotomic observables involved in such a B…

cs.LG2023

Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data

Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee +3

Differentially private (DP) synthetic data sets are a solution for sharing data while preserving the privacy of individual data providers. Understanding the effects of utilizing DP…

quant-ph2023

Tensile quantum-to-classical transition of macroscopic entangled states under complete coarse-grained measurements

Laxmi Prasad Naik, Tamal Ghosh, Sumit Mukherjee +2

The macroscopic limit at which the quantum-to-classical transition occurs remains as one of the long-standing questions in the foundations of quantum theory. There are evidences th…

math.ST2023

A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression

Sumit Mukherjee, Bodhisattva Sen, Subhabrata Sen

We study empirical Bayes estimation in high-dimensional linear regression. To facilitate computationally efficient estimation of the underlying prior, we adopt a variational empiri…

math.PR2023

Gibbs Measures with Multilinear Forms

Sohom Bhattacharya, Nabarun Deb, Sumit Mukherjee

In this paper, we study a class of multilinear Gibbs measures with Hamiltonian given by a generalized -statistic and with a general base measure. Expressing the asympto…

math.ST2023

Inference on a class of exponential families on permutations

Sumit Mukherjee, Daiki Tagami

In this paper we study a class of exponential family on permutations, which includes some of the commonly studied Mallows models. We show that the pseudo-likelihood estimator for t…