Fast and Simple Spectral Clustering in Theory and PracticeNeural Information Processing Systems (NeurIPS), 2023 |
An improved mixture of probabilistic PCA for nonlinear data-driven
process monitoringIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2019 |
A Local Search Framework for Experimental DesignACM-SIAM Symposium on Discrete Algorithms (SODA), 2020 |
Performance of Johnson-Lindenstrauss Transform for k-Means and k-Medians
ClusteringSymposium on the Theory of Computing (STOC), 2018 |
Feature Selection for Ridge Regression with Provable GuaranteesNeural Computation (Neural Comput.), 2015 |
Feature Selection for Linear SVM with Provable GuaranteesPattern Recognition (PR), 2014 |