| Learning certifiably optimal rule lists for categorical data E Angelino, N Larus-Stone, D Alabi, M Seltzer, C Rudin The Journal of Machine Learning Research 18 (1), 8753-8830, 2018 | 397 | 2018 |
| Differentially private simple linear regression D Alabi, A McMillan, J Sarathy, A Smith, S Vadhan arXiv preprint arXiv:2007.05157, 2020 | 43 | 2020 |
| Unleashing linear optimizers for group-fair learning and optimization D Alabi, N Immorlica, AT Kalai Proceedings of the 31st Conference On Learning Theory, 2018 | 34* | 2018 |
| PFunk-H: Approximate Query Processing using Perceptual Models D Alabi, E Wu HILDA@SIGMOD, 10:1--10:6, 2016 | 34 | 2016 |
| Privately estimating a Gaussian: Efficient, robust, and optimal D Alabi, PK Kothari, P Tankala, P Venkat, F Zhang Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 483-496, 2023 | 23 | 2023 |
| Learning to Prune: Speeding up Repeated Computations D Alabi, AT Kalai, K Ligett, C Musco, C Tzamos, E Vitercik Proceedings of the 32nd Conference on Learning Theory, 2019 | 17 | 2019 |
| Bounded space differentially private quantiles D Alabi, O Ben-Eliezer, A Chaturvedi arXiv preprint arXiv:2201.03380, 2022 | 16 | 2022 |
| Hypothesis testing for differentially private linear regression D Alabi, S Vadhan Advances in Neural Information Processing Systems 35, 14196-14209, 2022 | 10 | 2022 |
| Private rank aggregation in central and local models D Alabi, B Ghazi, R Kumar, P Manurangsi Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 5984-5991, 2022 | 9 | 2022 |
| Systems Optimizations for Learning Certifiably Optimal Rule Lists N Larus-Stone, E Angelino, D Alabi, M Seltzer, V Kaxiras, A Saligrama, ... SysML Conference, 2018 | 5 | 2018 |
| The cost of a reductions approach to private fair optimization D Alabi arXiv preprint arXiv:1906.09613, 2019 | 3 | 2019 |
| Saibot: A Differentially Private Data Search Platform Z Huang, J Liu, D Alabi, RC Fernandez, E Wu arXiv preprint arXiv:2307.00432, 2023 | 2 | 2023 |
| The Algorithmic Foundations of Private Computational Social Science DG Alabi Harvard University, 2022 | 2 | 2022 |
| Differentially Private Hypothesis Testing for Linear Regression DG Alabi, SP Vadhan Journal of Machine Learning Research 24 (361), 1-50, 2023 | 1 | 2023 |
| NaijaCoder: Participatory Design for Early Algorithms Education in the Global South D Alabi, A Adegbile, L Afuye, P Abel, A Monaco Proceedings of the 55th ACM Technical Symposium on Computer Science …, 2024 | | 2024 |
| Degree Distribution Identifiability of Stochastic Kronecker Graphs D Alabi, D Kalimeris arXiv preprint arXiv:2310.00171, 2023 | | 2023 |
| Privacy Budget Tailoring in Private Data Analysis D Alabi, C Wiggins Transactions on Machine Learning Research, 2023 | | 2023 |
| Private Rank Aggregation in Central and Local Models B Ghazi, P Manurangsi, RK Ravikumar | | 2022 |
| Certifiably optimal rule lists E Angelino, N Larus-Stone, D Alabi, M Seltzer, C Rudin Proceedings of the 23rd ACM SIGKDD Conference of Knowledge, Discovery, and …, 2017 | | 2017 |
