Rajarshi Guhaniyogi

16 papers Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mapping Drivers of Greenness: Spatial Variable Selection for MODIS Vegetation Indices.
CoRR
Qishi Zhan, Cheng-Han Yu, Yuchi Chen, Zhikang Dong, Rajarshi Guhaniyogi
2025 J jnl
Bayesian Data Sketching for Varying Coefficient Regression Models.
CoRR
Rajarshi Guhaniyogi, Laura Baracaldo, Sudipto Banerjee
2025 J jnl
Bayesian Data Sketching for Varying Coefficient Regression Models.
J. Mach. Learn. Res.
Rajarshi Guhaniyogi, Laura Baracaldo, Sudipto Banerjee
2025 J jnl
Sketching in High-Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors.
J. Mach. Learn. Res.
Rajarshi Guhaniyogi, Aaron Wolfe Scheffler
2024 J jnl
Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data.
Technometrics
Sharmistha Guha, Rajarshi Guhaniyogi
2024 J jnl
InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data.
CoRR
Bowen Lei, Rajarshi Guhaniyogi, Krishnendu Chandra, Aaron W. Scheffler, Bani K. Mallick
2022 J jnl
Bayesian Dynamic Feature Partitioning in High-Dimensional Regression With Big Data.
Technometrics
Rene Gutierrez, Rajarshi Guhaniyogi
2022 J jnl
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior.
J. Mach. Learn. Res.
Rajarshi Guhaniyogi, Cheng Li, Terrance D. Savitsky, Sanvesh Srivastava
2021 J jnl
Bayesian Generalized Sparse Symmetric Tensor-on-Vector Regression.
Technometrics
Sharmistha Guha, Rajarshi Guhaniyogi
2020 — conf
High Dimensional Bayesian Regularization in Regressions Involving Symmetric Tensors.
IPMU (3)
Rajarshi Guhaniyogi
2018 J jnl
Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets.
Technometrics
Rajarshi Guhaniyogi, Sudipto Banerjee
2017 J jnl
Bayesian Tensor Regression.
J. Mach. Learn. Res.
Rajarshi Guhaniyogi, Shaan Qamar, David B. Dunson
2017 J jnl
Convergence rate of Bayesian supervised tensor modeling with multiway shrinkage priors.
J. Multivar. Anal.
Rajarshi Guhaniyogi
2016 J jnl
Compressed Gaussian Process for Manifold Regression.
J. Mach. Learn. Res.
Rajarshi Guhaniyogi, David B. Dunson
2014 J jnl
Bayesian Conditional Density Filtering for Big Data.
CoRR
Rajarshi Guhaniyogi, Shaan Qamar, David B. Dunson
2013 J jnl
Bayesian Compressed Regression
CoRR
Rajarshi Guhaniyogi, David B. Dunson