| Generalization of machine learning approaches to identify notifiable conditions from a statewide health information exchange GP Dexter, SJ Grannis, BE Dixon, SN Kasthurirathne AMIA Summits on Translational Science Proceedings 2020, 152, 2020 | 36 | 2020 |
| Randomized linear algebra approaches to estimate the von neumann entropy of density matrices EM Kontopoulou, GP Dexter, W Szpankowski, A Grama, P Drineas IEEE transactions on information theory 66 (8), 5003-5021, 2020 | 21 | 2020 |
| Inverse reinforcement learning in a continuous state space with formal guarantees G Dexter, K Bello, J Honorio Advances in Neural Information Processing Systems 34, 6972-6982, 2021 | 11 | 2021 |
| Sublinear Time Eigenvalue Approximation via Random Sampling R Bhattacharjee, G Dexter, P Drineas, C Musco, A Ray arXiv preprint arXiv:2109.07647, 2021 | 10 | 2021 |
| Generative adversarial networks for creating synthetic free-text medical data: a proposal for collaborative research and re-use of machine learning models SN Kasthurirathne, G Dexter, SJ Grannis AMIA Summits on Translational Science Proceedings 2021, 335, 2021 | 10 | 2021 |
| msam: Micro-batch-averaged sharpness-aware minimization K Behdin, Q Song, A Gupta, S Keerthi, A Acharya, B Ocejo, G Dexter, ... arXiv preprint arXiv:2302.09693, 2023 | 6 | 2023 |
| On the convergence of inexact predictor-corrector methods for linear programming G Dexter, A Chowdhury, H Avron, P Drineas International Conference on Machine Learning, 5007-5038, 2022 | 5 | 2022 |
| Faster randomized interior point methods for tall/wide linear programs A Chowdhury, G Dexter, P London, H Avron, P Drineas Journal of Machine Learning Research 23 (336), 1-48, 2022 | 5 | 2022 |
| Universal matrix sparsifiers and fast deterministic algorithms for linear algebra R Bhattacharjee, G Dexter, C Musco, A Ray, S Sachdeva, DP Woodruff arXiv preprint arXiv:2305.05826, 2023 | 4 | 2023 |
| Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matrices G Dexter, C Boutsikas, L Ma, ICF Ipsen, P Drineas arXiv preprint arXiv:2403.12278, 2024 | 3 | 2024 |
| Feature space sketching for logistic regression G Dexter, R Khanna, J Raheel, P Drineas arXiv preprint arXiv:2303.14284, 2023 | 3 | 2023 |
| Sketching algorithms for sparse dictionary learning: PTAS and turnstile streaming G Dexter, P Drineas, D Woodruff, T Yasuda Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| A precise characterization of sgd stability using loss surface geometry G Dexter, B Ocejo, S Keerthi, A Gupta, A Acharya, R Khanna arXiv preprint arXiv:2401.12332, 2024 | 1 | 2024 |
| Generalization of Machine Learning Approaches to Identify Notifiable Diseases Reported from a Statewide Health Information Exchange G Dexter, S Kasthurirathne, BE Dixon, S Grannis MEDINFO Conference proceedings, 2019 | 1 | 2019 |
| An adversorial approach to enable re-use of machine learning models and collaborative research efforts using synthetic unstructured free-text medical data SN Kasthurirathne, G Dexter, SJ Grannis MEDINFO 2019: Health and Wellbeing e-Networks for All, 1510-1511, 2019 | 1 | 2019 |
| Matrix sketching framework for linear mixed models in association studies MC Burch, A Bose, G Dexter, L Parida, P Drineas Genome Research, gr. 279230.124, 2024 | | 2024 |
| MaSk-LMM: A Matrix Sketching Framework for Linear Mixed Models in Association Studies M Burch, A Bose, G Dexter, L Parida, P Drineas International Conference on Research in Computational Molecular Biology, 352-355, 2024 | | 2024 |
| Matrix Sketching in Optimization GP Dexter Purdue University Graduate School, 2024 | | 2024 |
Petros DrineasProfessor, Computer Science Department, Purdue UniversityAdresse e-mail validée de purdue.edu
