Daniel Alabi
Daniel Alabi
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Cited by
Cited by
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
Differentially private simple linear regression
D Alabi, A McMillan, J Sarathy, A Smith, S Vadhan
arXiv preprint arXiv:2007.05157, 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
PFunk-H: Approximate Query Processing using Perceptual Models
D Alabi, E Wu
HILDA@SIGMOD, 10:1--10:6, 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
Bounded space differentially private quantiles
D Alabi, O Ben-Eliezer, A Chaturvedi
arXiv preprint arXiv:2201.03380, 2022
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
Hypothesis testing for differentially private linear regression
D Alabi, S Vadhan
Advances in Neural Information Processing Systems 35, 14196-14209, 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
Systems Optimizations for Learning Certifiably Optimal Rule Lists
N Larus-Stone, E Angelino, D Alabi, M Seltzer, V Kaxiras, A Saligrama, ...
SysML Conference, 2018
The cost of a reductions approach to private fair optimization
D Alabi
arXiv preprint arXiv:1906.09613, 2019
Saibot: A Differentially Private Data Search Platform
Z Huang, J Liu, D Alabi, RC Fernandez, E Wu
arXiv preprint arXiv:2307.00432, 2023
The Algorithmic Foundations of Private Computational Social Science
DG Alabi
Harvard University, 2022
Differentially Private Hypothesis Testing for Linear Regression
DG Alabi, SP Vadhan
Journal of Machine Learning Research 24 (361), 1-50, 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
Degree Distribution Identifiability of Stochastic Kronecker Graphs
D Alabi, D Kalimeris
arXiv preprint arXiv:2310.00171, 2023
Privacy Budget Tailoring in Private Data Analysis
D Alabi, C Wiggins
Transactions on Machine Learning Research, 2023
Private Rank Aggregation in Central and Local Models
B Ghazi, P Manurangsi, RK Ravikumar
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
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