Chowdhury, Agniva

8 publications

AAAI 2024 A Provably Accurate Randomized Sampling Algorithm for Logistic Regression Agniva Chowdhury, Pradeep Ramuhalli

CVPR 2024 Patch2Self2: Self-Supervised Denoising on Coresets via Matrix Sketching Shreyas Fadnavis, Agniva Chowdhury, Joshua Batson, Petros Drineas, Eleftherios Garyfallidis

NeurIPSW 2023 Deep Learning with Physics Priors as Generalized Regularizers Frank Liu, Agniva Chowdhury

JMLR 2022 Faster Randomized Interior Point Methods for Tall/Wide Linear Programs Agniva Chowdhury, Gregory Dexter, Palma London, Haim Avron, Petros Drineas

ICML 2022 On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming Gregory Dexter, Agniva Chowdhury, Haim Avron, Petros Drineas

NeurIPS 2020 Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs Agniva Chowdhury, Palma London, Haim Avron, Petros Drineas

UAI 2019 Randomized Iterative Algorithms for Fisher Discriminant Analysis Agniva Chowdhury, Jiasen Yang, Petros Drineas

ICML 2018 An Iterative, Sketching-Based Framework for Ridge Regression Agniva Chowdhury, Jiasen Yang, Petros Drineas