publication venue for
- The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks.. 23:141. 2022
- Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace.. 22:1-49. 2021
- Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection. 22. 2021
- Single and Multiple Change-Point Detection with Differential Privacy. 22. 2021
- A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables. 22:1-52. 2021
- Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs. 21. 2020
- Quantile Graphical Models: Bayesian Approaches.. 21:1-47. 2020
- Provably Accurate Double-Sparse Coding. 20. 2019
- Matrix Completion with Noisy Entries and Outliers. 18. 2017
- Absent Data Generating Classifier for Imbalanced Class Sizes. 16:2695-2724. 2015
- Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior. 16:2837-2851. 2015
- GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression. 13:775-779. 2012
- Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets. 12:1697-1728. 2011
- Multi-class discriminant kernel learning via convex programming. 9:719-758. 2008