Sayan Mukherjee
15 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-6715-3920
Duke University
Publications
- Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
- Subspace Clustering through Sub-Clusters — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
- A statistical pipeline for identifying physical features that differentiate classes of 3D shapes — The Annals of Applied Statistics 2021
- Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis — Journal of the American Statistical Association 2020
- Fast Moment Estimation for Generalized Latent Dirichlet Models — Journal of the American Statistical Association 2018
- Bayesian Approximate Kernel Regression With Variable Selection — Journal of the American Statistical Association 2018
- Geometric Representations of Random Hypergraphs — Journal of the American Statistical Association 2017
- Adaptive Randomized Dimension Reduction on Massive Data — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
- Bayesian group factor analysis with structured sparsity — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
- Consistency of maximum likelihood estimation for some dynamical systems — The Annals of Statistics 2015 (name-matched, not ORCID-linked)
- Partial Factor Modeling: Predictor-Dependent Shrinkage for Linear Regression — Journal of the American Statistical Association 2013
- Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence — Journal of Machine Learning Research 2010 (name-matched, not ORCID-linked)
- Characterizing the Function Space for Bayesian Kernel Models — Journal of Machine Learning Research 2007 (name-matched, not ORCID-linked)
- Learning Coordinate Covariances via Gradients — Journal of Machine Learning Research 2006 (name-matched, not ORCID-linked)
- Estimation of Gradients and Coordinate Covariation in Classification — Journal of Machine Learning Research 2006 (name-matched, not ORCID-linked)