Shrijita Bhattacharya

17 papers Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Variational Inference Aided Variable Selection For Spatially Structured High Dimensional Covariates.
J. Comput. Graph. Stat.
Siddhartha Nandy, Minwoo Kim, Shrijita Bhattacharya, Tapabrata Maiti
2025 J jnl
Spike-and-Slab Shrinkage Priors for Structurally Sparse Bayesian Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti
2024 J jnl
Comprehensive study of variational Bayes classification for dense deep neural networks.
Stat. Comput.
Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti
2024 J jnl
Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation.
J. Comput. Graph. Stat.
Minwoo Kim, Shrijita Bhattacharya, Tapabrata Maiti
2024 J jnl
Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space.
IEEE Trans. Neural Networks Learn. Syst.
Zihuan Liu, Shrijita Bhattacharya, Tapabrata Maiti
2023 J jnl
A comprehensive study of spike and slab shrinkage priors for structurally sparse Bayesian neural networks.
CoRR
Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti
2023 J jnl
Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details.
Neural Networks
Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti
2022 J jnl
Sequential Bayesian Neural Subnetwork Ensembles.
CoRR
Sanket R. Jantre, Sandeep Madireddy, Shrijita Bhattacharya, Tapabrata Maiti, Prasanna Balaprakash
2021 J jnl
A fast and calibrated computer model emulator: an empirical Bayes approach.
Stat. Comput.
Vojtech Kejzlar, Mookyong Son, Shrijita Bhattacharya, Tapabrata Maiti
2021 J jnl
Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details.
CoRR
Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti
2021 J jnl
Statistical foundation of Variational Bayes neural networks.
Neural Networks
Shrijita Bhattacharya, Tapabrata Maiti
2020 J jnl
Statistical Foundation of Variational Bayes Neural Networks.
CoRR
Shrijita Bhattacharya, Tapabrata Maiti
2020 J jnl
Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges.
CoRR
Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti
2018 — conf
Detection of False Data Injection Attacks in Smart Grids Based on Forecasts.
SmartGridComm
Michael G. Kallitsis, Shrijita Bhattacharya, George Michailidis
2016 J jnl
AMON: An Open Source Architecture for Online Monitoring, Statistical Analysis, and Forensics of Multi-Gigabit Streams.
IEEE J. Sel. Areas Commun.
Michael G. Kallitsis, Stilian A. Stoev, Shrijita Bhattacharya, George Michailidis
2016 — conf
Adaptive statistical detection of false data injection attacks in smart grids.
GlobalSIP
Michael G. Kallitsis, Shrijita Bhattacharya, Stilian Stoev, George Michailidis
2015 J jnl
AMON: An Open Source Architecture for Online Monitoring, Statistical Analysis and Forensics of Multi-gigabit Streams.
CoRR
Michael G. Kallitsis, Stilian Stoev, Shrijita Bhattacharya, George Michailidis