Sharmodeep Bhattacharyya

According to our database, Sharmodeep Bhattacharyya authored at least 13 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Numerical characterization of support recovery in sparse regression with correlated design.

Ankit Kumar, Sharmodeep Bhattacharyya, Kristofer E. Bouchard

Commun. Stat. Simul. Comput., March, 2024

2023

Detection of Temporal Shifts in Semantics Using Local Graph Clustering.

Neil Hwang, Shirshendu Chatterjee, Yanming Di, Sharmodeep Bhattacharyya

Mach. Learn. Knowl. Extr., March, 2023

2021

A General Framework for Spatio-Temporal Modeling of Epidemics With Multiple Epicenters: Application to an Aerially Dispersed Plant Pathogen.

Awino M. E. Ojwang', Trevor Ruiz, Sharmodeep Bhattacharyya, Shirshendu Chatterjee, Peter S. Ojiambo, David H. Gent

Frontiers Appl. Math. Stat., 2021

2020

Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences.

Sharmodeep Bhattacharyya, Shirshendu Chatterjee, Soumendu Sundar Mukherjee

CoRR, 2020

General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers.

Sharmodeep Bhattacharyya, Shirshendu Chatterjee

CoRR, 2020

Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models.

Trevor D. Ruiz, Sharmodeep Bhattacharyya, Mahesh Balasubramanian, Kristofer E. Bouchard

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Scaling of Union of Intersections for Inference of Granger Causal Networks from Observational Data.

Mahesh Balasubramanian, Trevor D. Ruiz, Brandon Cook, Prabhat, Sharmodeep Bhattacharyya, Aviral Shrivastava, Kristofer E. Bouchard

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019

Sparse, Predictive, and Interpretable Functional Connectomics with UoILasso.

Pratik S. Sachdeva, Sharmodeep Bhattacharyya, Kristofer E. Bouchard

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Optimizing the Union of Intersections LASSO (UoI_LASSO) and Vector Autoregressive (UoI_VAR) Algorithms for Improved Statistical Estimation at Scale.

Mahesh Balasubramanian, Trevor D. Ruiz, Brandon Cook, Sharmodeep Bhattacharyya, Prabhat, Aviral Shrivastava, Kristofer E. Bouchard

CoRR, 2018

Spectral Clustering for Multiple Sparse Networks: I.

Sharmodeep Bhattacharyya, Shirshendu Chatterjee

CoRR, 2018

2017

Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction.

Kristofer E. Bouchard, Alejandro F. Bujan, Farbod Roosta-Khorasani, Shashanka Ubaru, Prabhat, Antoine Snijders, Jian-Hua Mao, Edward F. Chang, Michael W. Mahoney, Sharmodeep Bhattacharyya

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

Spectral Clustering and Block Models: A Review And A New Algorithm.

Sharmodeep Bhattacharyya, Peter J. Bickel

CoRR, 2015

2014

Community Detection in Networks using Graph Distance.

Sharmodeep Bhattacharyya, Peter J. Bickel

CoRR, 2014