2 citations · 2 across the 2 of their papers we have counts for
3 papers
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…
High-Dimensional Statistics: Reflections on Progress and Open Problems
Arian Maleki, Subhabrata Sen, Sivaraman Balakrishnan +9
Over the past two decades, the field of high-dimensional statistics has experienced substantial progress, driven largely by technological advances that have dramatically reduced th…
On Naive Mean-Field Approximation for high-dimensional canonical GLMs
Sumit Mukherjee, Jiaze Qiu, Subhabrata Sen
We study the validity of the Naive Mean Field (NMF) approximation for canonical GLMs with product priors. This setting is challenging due to the non-conjugacy of the likelihood and…