| Random Projections for Support Vector Machines S Paul, C Boutsidis, M Magdon-Ismail, P Drineas Sixteenth International Conference on Artificial Intelligence and Statistics …, 2013 | 66 | 2013 |
| Feature selection for linear SVM with provable guarantees S Paul, M Magdon-Ismail, P Drineas Artificial Intelligence and Statistics, 735-743, 2015 | 65 | 2015 |
| Random projections for linear support vector machines S Paul, C Boutsidis, M Magdon-Ismail, P Drineas ACM Transactions on Knowledge Discovery from Data (TKDD) 8 (4), 1-25, 2014 | 49 | 2014 |
| Feature selection for ridge regression with provable guarantees S Paul, P Drineas Neural computation 28 (4), 716-742, 2016 | 33 | 2016 |
| Column selection via adaptive sampling S Paul, M Magdon-Ismail, P Drineas Advances in neural information processing systems 28, 2015 | 27 | 2015 |
| Deterministic feature selection for regularized least squares classification S Paul, P Drineas Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014 | 8 | 2014 |
| Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning Y Ge, X Zhao, L Yu, S Paul, D Hu, CC Hsieh, Y Zhang Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 6 | 2022 |
| Core-sets for canonical correlation analysis S Paul Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 4 | 2015 |
| Model Training for Multiple Data Spaces for Pattern Classification and Detection S Paul, R Munavalli US Patent App. 15/240,614, 2018 | 2 | 2018 |
| Matrix sampling algorithms for topics in machine learning S Paul Rensselaer Polytechnic Institute, 2015 | | 2015 |
Petros DrineasProfessor, Computer Science Department, Purdue UniversityVerified email at purdue.edu
