4 citations · 6 across the 14 of their papers we have counts for
6 papers · 1 filter
Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data
Abhinav Chakraborty, Sagnik Nandy
Clustering is a fundamental problem in statistics, with applications across many scientific disciplines. In many modern applications involving clustering, the primary dataset (the…
Degree Heterogeneity in Higher-Order Networks: Inference in the Hypergraph -Model
Sagnik Nandy, Bhaswar B. Bhattacharya
The -model for random graphs is commonly used for representing pairwise interactions in a network with degree heterogeneity. Going beyond pairwise interactions, Stasi…
Bayes optimal learning in high-dimensional linear regression with network side information
Sagnik Nandy, Subhabrata Sen
Supervised learning problems with side information in the form of a network arise frequently in applications in genomics, proteomics and neuroscience. For example, in genetic appli…
Detecting Planted Partition in Sparse Multi-Layer Networks
Anirban Chatterjee, Sagnik Nandy, Ritwik Sadhu
Multilayer networks are used to represent the interdependence between the relational data of individuals interacting with each other via different types of relationships. To study…
Exact Detection Thresholds and Minimax Optimality of Chatterjee's Correlation Coefficient
Arnab Auddy, Nabarun Deb, Sagnik Nandy
Recently, Chatterjee (2021) introduced a new rank-based correlation coefficient which can be used to measure the strength of dependence between two random variables. This coefficie…
Community Detection with Contextual Multilayer Networks
Zongming Ma, Sagnik Nandy
In this paper, we study community detection when we observe sparse networks and a high dimensional covariate matrix, all encoding the same community structure among subject…