| 2024 | AAAI | A Provably Accurate Randomized Sampling Algorithm for Logistic Regression. | Agniva Chowdhury, Pradeep Ramuhalli |
| 2024 | CVPR | Patch2Self2: Self-Supervised Denoising on Coresets via Matrix Sketching. | Shreyas Fadnavis, Agniva Chowdhury, Joshua Batson, Petros Drineas, Eleftherios Garyfallidis |
| 2022 | ICML | On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming. | Gregory Dexter, Agniva Chowdhury, Haim Avron, Petros Drineas |
| 2022 | RECOMB | A Fast, Provably Accurate Approximation Algorithm for Sparse Principal Component Analysis Reveals Human Genetic Variation Across the World. | Agniva Chowdhury, Aritra Bose, Samson Zhou, David P. Woodruff, Petros Drineas |
| 2020 | RECOMB | CluStrat: A Structure Informed Clustering Strategy for Population Stratification. | Aritra Bose, Myson C. Burch, Agniva Chowdhury, Peristera Paschou, Petros Drineas |
| 2019 | UAI | Randomized Iterative Algorithms for Fisher Discriminant Analysis. | Agniva Chowdhury, Jiasen Yang, Petros Drineas |
| 2018 | ICML | An Iterative, Sketching-based Framework for Ridge Regression. | Agniva Chowdhury, Jiasen Yang, Petros Drineas |