Agniva Chowdhury

According to our database, Agniva Chowdhury authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Provably Accurate Randomized Sampling Algorithm for Logistic Regression.

Agniva Chowdhury, Pradeep Ramuhalli

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Structure-informed clustering for population stratification in association studies.

Aritra Bose, Myson C. Burch, Agniva Chowdhury, Peristera Paschou, Petros Drineas

BMC Bioinform., December, 2023

Deep Learning with Physics Priors as Generalized Regularizers.

Frank Liu, Agniva Chowdhury

CoRR, 2023

2022

Faster Randomized Interior Point Methods for Tall/Wide Linear Programs.

Agniva Chowdhury, Gregory Dexter, Palma London, Haim Avron, Petros Drineas

J. Mach. Learn. Res., 2022

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

Proceedings of the Research in Computational Molecular Biology, 2022

On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming.

Gregory Dexter, Agniva Chowdhury, Haim Avron, Petros Drineas

Proceedings of the International Conference on Machine Learning, 2022

2020

Approximation Algorithms for Sparse Principal Component Analysis.

Agniva Chowdhury, Petros Drineas, David P. Woodruff, Samson Zhou

CoRR, 2020

Speeding up Linear Programming using Randomized Linear Algebra.

Agniva Chowdhury, Palma London, Haim Avron, Petros Drineas

CoRR, 2020

CluStrat: A Structure Informed Clustering Strategy for Population Stratification.

Aritra Bose, Myson C. Burch, Agniva Chowdhury, Peristera Paschou, Petros Drineas

Proceedings of the Research in Computational Molecular Biology, 2020

Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs.

Agniva Chowdhury, Palma London, Haim Avron, Petros Drineas

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Randomized Iterative Algorithms for Fisher Discriminant Analysis.

Agniva Chowdhury, Jiasen Yang, Petros Drineas

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

An Iterative, Sketching-based Framework for Ridge Regression.

Agniva Chowdhury, Jiasen Yang, Petros Drineas

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Coreset Construction via Randomized Matrix Multiplication.

Jiasen Yang, Agniva Chowdhury, Petros Drineas

CoRR, 2017