4 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…
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…
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, Stas…
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…