Rajarshi Guhaniyogi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 10

Top Topics

Bayesian Modeling

Gaussian Processes

Spatial Datasets

Higher Order Tensors

Top Venues

J. Mach. Learn. Res.

Publications

Bowen Lei, Rajarshi Guhaniyogi, Krishnendu Chandra, Aaron Scheffler, Bani K. Mallick
InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data. CoRR (2024)
Sharmistha Guha, Rajarshi Guhaniyogi
Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data. Technometrics 66 (3) (2024)
Rajarshi Guhaniyogi, Cheng Li, Terrance D. Savitsky, Sanvesh Srivastava
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior. J. Mach. Learn. Res. 23 (2022)
Rene Gutierrez, Rajarshi Guhaniyogi
Bayesian Dynamic Feature Partitioning in High-Dimensional Regression With Big Data. Technometrics 64 (2) (2022)
Sharmistha Guha, Rajarshi Guhaniyogi
Bayesian Generalized Sparse Symmetric Tensor-on-Vector Regression. Technometrics 63 (2) (2021)
Rajarshi Guhaniyogi
High Dimensional Bayesian Regularization in Regressions Involving Symmetric Tensors. IPMU (3) (2020)
Rajarshi Guhaniyogi, Sudipto Banerjee
Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets. Technometrics 60 (4) (2018)
Rajarshi Guhaniyogi
Convergence rate of Bayesian supervised tensor modeling with multiway shrinkage priors. J. Multivar. Anal. 160 (2017)
Rajarshi Guhaniyogi, Shaan Qamar, David B. Dunson
Bayesian Tensor Regression. J. Mach. Learn. Res. 18 (2017)
Rajarshi Guhaniyogi, David B. Dunson
Compressed Gaussian Process for Manifold Regression. J. Mach. Learn. Res. 17 (2016)
Rajarshi Guhaniyogi, Shaan Qamar, David B. Dunson
Bayesian Conditional Density Filtering for Big Data. CoRR (2014)
Rajarshi Guhaniyogi, David B. Dunson
Bayesian Compressed Regression CoRR (2013)