Search Results for author: Shrijita Bhattacharya

Found 5 papers, 0 papers with code

A comprehensive study of spike and slab shrinkage priors for structurally sparse Bayesian neural networks

no code implementations17 Aug 2023 Sanket Jantre, Shrijita Bhattacharya, Tapabrata Maiti

In this paper, we explore two well-established shrinkage techniques, Lasso and Horseshoe, for model compression in Bayesian neural networks.

Computational Efficiency Model Compression +1

Sequential Bayesian Neural Subnetwork Ensembles

no code implementations1 Jun 2022 Sanket Jantre, Sandeep Madireddy, Shrijita Bhattacharya, Tapabrata Maiti, Prasanna Balaprakash

Deep neural network ensembles that appeal to model diversity have been used successfully to improve predictive performance and model robustness in several applications.

Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details

no code implementations25 Aug 2021 Sanket Jantre, Shrijita Bhattacharya, Tapabrata Maiti

Although several works have studied theoretical and numerical properties of sparse neural architectures, they have primarily focused on the edge selection.

Statistical Foundation of Variational Bayes Neural Networks

no code implementations29 Jun 2020 Shrijita Bhattacharya, Tapabrata Maiti

However there are few results which revolve around the theoretical properties of VB, especially in non-parametric problems.

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