| 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 | 40 | 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 |
| Sublinear Time Eigenvalue Approximation via Random Sampling R Bhattacharjee, G Dexter, P Drineas, C Musco, A Ray arXiv preprint arXiv:2109.07647, 2021 | 17 | 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 | 14 | 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 | 11 | 2023 |
| 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 |
| 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 | 8 | 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 | 6 | 2023 |
| 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 | 6 | 2022 |
| Stochastic rounding implicitly regularizes tall-and-thin matrices G Dexter, C Boutsikas, L Ma, ICF Ipsen, P Drineas SIAM Journal on Matrix Analysis and Applications 46 (1), 341-369, 2025 | 5 | 2025 |
| Feature space sketching for logistic regression G Dexter, R Khanna, J Raheel, P Drineas arXiv preprint arXiv:2303.14284, 2023 | 4 | 2023 |
| 50th International Colloquium on Automata, Languages, and Programming (ICALP 2023) AR Karlin, R Kyng, P Baumann, M Ganardi, R Majumdar, RS Thinniyam, ... Schloss Dagstuhl-Leibniz-Zentrum für Informatik GmbH, 2023 | 3 | 2023 |
| 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 | 3 | 2019 |
| Matrix sketching framework for linear mixed models in association studies M Burch, A Bose, G Dexter, L Parida, P Drineas Genome Research 34 (9), 1304-1311, 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 |
| 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, 48431-48443, 2023 | 1 | 2023 |
| 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 |
| Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications K Behdin, Y Dai, A Fatahibaarzi, A Gupta, Q Song, S Tang, H Sang, ... arXiv preprint arXiv:2502.14305, 2025 | | 2025 |
| LLM Query Scheduling with Prefix Reuse and Latency Constraints G Dexter, S Tang, AF Baarzi, Q Song, T Dharamsi, A Gupta arXiv preprint arXiv:2502.04677, 2025 | | 2025 |
| The Space Complexity of Approximating Logistic Loss G Dexter, P Drineas, R Khanna Advances in Neural Information Processing Systems 37, 90989-91011, 2024 | | 2024 |
Petros DrineasProfessor, Computer Science Department, Purdue UniversityE-mail confirmado em purdue.edu
