1 citations · 1 across the 4 of their papers we have counts for
5 papers
Peak-Persistence Diagrams for Estimating Shapes and Functions from Noisy Data
Woo Min Kim, Sutanoy Dasgupta, Anuj Srivastava
Estimating signals underlying noisy data is a significant problem in statistics and engineering. Numerous estimators are available in the literature, depending on the observation m…
An Approximate Bayesian Approach to Covariate-dependent Graphical Modeling
Sutanoy Dasgupta, Peng Zhao, Jacob Helwig +3
Gaussian graphical models typically assume a homogeneous structure across all subjects, which is often restrictive in applications. In this article, we propose a weighted pseudo-li…
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching
Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti +3
We consider the off-policy evaluation (OPE) problem in contextual bandits, where the goal is to estimate the value of a target policy using the data collected by a logging policy.…
Shape-Constrained Univariate Density Estimation
Sutanoy Dasgupta, Debdeep Pati, Ian H. Jermyn +1
While the problem of estimating a probability density function (pdf) from its observations is classical, the estimation under additional shape constraints is both important and cha…
A Two-Step Geometric Framework For Density Modeling
Sutanoy Dasgupta, Debdeep Pati, Anuj Srivastava
We introduce a novel two-step approach for estimating a probability density function (pdf) given its samples, with the second and important step coming from a geometric formulation…