Sharmodeep Bhattacharyya
Sharmodeep Bhattacharyya
Assistant Professor of Statistics, Oregon State University
Verified email at science.oregonstate.edu - Homepage
Title
Cited by
Cited by
Year
Subsampling bootstrap of count features of networks
S Bhattacharyya, PJ Bickel
Annals of Statistics 43 (6), 2384-2411, 2015
422015
Community detection in networks using graph distance
S Bhattacharyya, PJ Bickel
arXiv preprint arXiv:1401.3915, 2014
322014
Spectral clustering for multiple sparse networks: I
S Bhattacharyya, S Chatterjee
arXiv preprint arXiv:1805.10594, 2018
232018
Hierarchical community detection by recursive partitioning
T Li, L Lei, S Bhattacharyya, K Van den Berge, P Sarkar, PJ Bickel, ...
Journal of the American Statistical Association, 1-18, 2020
212020
Union of intersections (uoi) for interpretable data driven discovery and prediction
KE Bouchard, AF Bujan, F Roosta-Khorasani, S Ubaru, AM Snijders, ...
arXiv preprint arXiv:1705.07585, 2017
152017
Adaptive estimation in elliptical distributions with extensions to high dimensions
S Bhattacharyya, PJ Bickel
Preprint, 2014
102014
Spectral clustering for dynamic stochastic block model
S Bhattacharyya, S Chatterjee
Working Paper, 2017
72017
Spectral clustering and block models: A review and a new algorithm
S Bhattacharyya, PJ Bickel
Statistical Analysis for High-Dimensional Data, 67-90, 2016
52016
Prediction of spread and regional development of hop powdery mildew: A network analysis
DH Gent, S Bhattacharyya, T Ruiz
Phytopathology 109 (8), 1392-1403, 2019
42019
Sparse, low-bias, and scalable estimation of high dimensional vector autoregressive models via union of intersections
T Ruiz, M Balasubramanian, KE Bouchard, S Bhattacharyya
arXiv preprint arXiv:1908.11464, 2019
32019
Optimizing the Union of Intersections LASSO () and Vector Autoregressive () Algorithms for Improved Statistical Estimation at Scale
M Balasubramanian, T Ruiz, B Cook, S Bhattacharyya, A Shrivastava, ...
arXiv preprint arXiv:1808.06992, 2018
32018
Consistent Recovery of Communities from Sparse Multi-relational Networks: A Scalable Algorithm with Optimal Recovery Conditions
S Bhattacharyya, S Chatterjee
Complex Networks XI, 92-103, 2020
22020
Supplement to “Subsampling bootstrap of count features of networks.”
S Bhattacharyya, PJ Bickel
DOI, 2015
22015
Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences
S Bhattacharyya, S Chatterjee, SS Mukherjee
arXiv preprint arXiv:2009.02112, 2020
12020
Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models
T Ruiz, S Bhattacharyya, M Balasubramanian, K Bouchard
Learning for Dynamics and Control, 55-64, 2020
12020
Scaling of Union of Intersections for Inference of Granger Causal Networks from Observational Data
M Balasubramanian, TD Ruiz, B Cook, M Prabhat, S Bhattacharyya, ...
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020
12020
General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers
S Bhattacharyya, S Chatterjee
arXiv preprint arXiv:2004.03480, 2020
12020
Spectral Clustering and Block Models: A Review And A New Algorithm
S Bhattacharyya, PJ Bickel
arXiv preprint arXiv:1508.01819, 2015
12015
A Study of High-dimensional Clustering and Statistical Inference on Networks
S Bhattacharyya
UC Berkeley, 2013
12013
Numerical Characterization of Support Recovery in Sparse Regression with Correlated Design
A Kumar, S Bhattacharyya, K Bouchard
arXiv preprint arXiv:2103.12802, 2021
2021
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