activity
20202026
most citedReconciling model-X and doubly robust approaches to conditional independence testing

1 citations · 1 across the 11 of their papers we have counts for

collaborators

12 papers

cs.DC2026

When Robots Crash: Optimal Asynchronous Gathering at Weber Meeting Nodes

Animesh Maiti, Prakhar Shukla, Abhinav Chakraborty +1

We study the \textit{optimal gathering} problem over a finite set of designated \textit{meeting nodes} for \textit{asynchronous, anonymous,} and \textit{oblivious} mobile robots on…

cs.DC2026

The Surplus Parking Gathering Problem in Infinite Grids

Animesh Maiti, Abhinav Chakraborty, Subhash Bhagat

In this paper, we introduce the \emph{Surplus Parking Gathering Problem} (), a new coordination problem for robots deployed on an infinite grid. The input consists o…

cs.DC2026

Min-Sum Uniform Coverage Problem by Autonomous Mobile Robots

Animesh Maiti, Abhinav Chakraborty, Bibhuti Das +2

We study the \textit{min-sum uniform coverage} problem for a swarm of mobile robots on a given finite line segment and on a circle having finite positive radius, where the circ…

math.ST2026

Power of masking methods for adaptive testing in a multivariate normal means problem

Abhinav Chakraborty, Junu Lee, Eugene Katsevich

Many large-scale testing procedures learn signal structure from the data to boost power. Direct data reuse can inflate Type-I error ("double dipping"), so a common remedy is maskin…

cs.DC2024

Min-Max Gathering on Infinite Grid

Abhinav Chakraborty, Pritam Goswami, Satakshi Ghosh

Gathering is a fundamental coordination problem in swarm robotics, where the objective is to bring robots together at a point not known to them at the beginning. While most researc…

stat.ME2024

Doubly robust and computationally efficient high-dimensional variable selection

Abhinav Chakraborty, Jeffrey Zhang, Eugene Katsevich

Variable selection can be performed by testing conditional independence (CI) between each predictor and the response, given the other predictors. A doubly robust and powerful optio…

cs.DC2023

Parking Problem by Oblivious Mobile Robots in Infinite Grids

Abhinav Chakraborty, Krishnendu Mukhopadhyaya

In this paper, the parking problem of a swarm of mobile robots has been studied. The robots are deployed at the nodes of an infinite grid, which has a subset of prefixed nodes mark…

stat.ME2022★ 1 cited

Reconciling model-X and doubly robust approaches to conditional independence testing

Ziang Niu, Abhinav Chakraborty, Oliver Dukes +1

Model-X approaches to testing conditional independence between a predictor and an outcome variable given a vector of covariates usually assume exact knowledge of the conditional di…

cs.RO2022

Mutual Visibility by Fat Robots with Slim Omnidirectional Camera

Kaustav Bose, Abhinav Chakraborty, Krishnendu Mukhopadhyaya

In the existing literature of the Mutual Visibility problem for autonomous robot swarms, the adopted visibility models have some idealistic assumptions that are not consistent with…

cs.DC2022

Optimal Gathering over Weber Meeting Nodes in Infinite Grid

Subhash Bhagat, Abhinav Chakraborty, Bibhuti Das +1

The gathering over meeting nodes problem requires the robots to gather at one of the pre-defined meeting nodes. This paper investigates the problem with respect to the objective fu…

cs.DC2021

Gathering over Meeting Nodes in Infinite Grid

Subhash Bhagat, Abhinav Chakraborty, Bibhuti Das +1

The gathering over meeting nodes problem asks the robots to gather at one of the pre-defined meeting nodes. The robots are deployed on the nodes of an anonymous two-dimensional inf…

math.ST2020

High dimensional PCA: a new model selection criterion

Abhinav Chakraborty, Soumendu Sundar Mukherjee, Arijit Chakrabarti

Given a random sample from a multivariate population, estimating the number of large eigenvalues of the population covariance matrix is an important problem in Statistics with wide…