no code implementations • 2 Aug 2022 • Sayak Chatterjee, Shirshendu Chatterjee, Soumendu Sundar Mukherjee, Anirban Nath, Sharmodeep Bhattacharyya
Network-valued time series are currently a common form of network data.
no code implementations • 1 Jan 2021 • Neil Hwang, Jiarui Xu, Shirshendu Chatterjee, Sharmodeep Bhattacharyya
Most community detection algorithms assume the number of communities, K, to be known a priori.
no code implementations • L4DC 2020 • Trevor Ruiz, Sharmodeep Bhattacharyya, Mahesh Balasubramanian, Kristofer Bouchard
A well-known feature of RML inference is that in general the technique produces a trade-off between sparsity and bias that depends on the choice of the regularization hyperparameter.
no code implementations • 2 Oct 2018 • Tianxi Li, Lihua Lei, Sharmodeep Bhattacharyya, Koen Van den Berge, Purnamrita Sarkar, Peter J. Bickel, Elizaveta Levina
This can be done with a simple top-down recursive partitioning algorithm, starting with a single community and separating the nodes into two communities by spectral clustering repeatedly, until a stopping rule suggests there are no further communities.
no code implementations • 21 Aug 2018 • Mahesh Balasubramanian, Trevor Ruiz, Brandon Cook, Sharmodeep Bhattacharyya, Prabhat, Aviral Shrivastava, Kristofer Bouchard
The analysis of scientific data of increasing size and complexity requires statistical machine learning methods that are both interpretable and predictive.
no code implementations • NeurIPS 2017 • Kristofer E. Bouchard, Alejandro F. Bujan, Farbod Roosta-Khorasani, Shashanka Ubaru, Prabhat, Antoine M. Snijders, Jian-Hua Mao, Edward F. Chang, Michael W. Mahoney, Sharmodeep Bhattacharyya
The increasing size and complexity of scientific data could dramatically enhance discovery and prediction for basic scientific applications.
no code implementations • 7 Aug 2015 • Sharmodeep Bhattacharyya, Peter J. Bickel
We focus on spectral clustering of unlabeled graphs and review some results on clustering methods which achieve weak or strong consistent identification in data generated by such models.
no code implementations • 16 Jan 2014 • Sharmodeep Bhattacharyya, Peter J. Bickel
There are some exceptions but all have some incomplete theoretical basis.