Daniel Alabi
Daniel Alabi
Verified email at g.harvard.edu - Homepage
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
PFunk-H: Approximate Query Processing using Perceptual Models
D Alabi, E Wu
HILDA@SIGMOD, 10:1--10:6, 2016
Unleashing linear optimizers for group-fair learning and optimization
D Alabi, N Immorlica, AT Kalai
Proceedings of the 31st Conference On Learning Theory, 2018
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
Differentially Private Simple Linear Regression
D Alabi, A McMillan, J Sarathy, A Smith, S Vadhan
arXiv preprint arXiv:2007.05157, 2020
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
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
Hypothesis Testing for Differentially Private Linear Regression
D Alabi, S Vadhan
Bounded Space Differentially Private Quantiles
D Alabi, O Ben-Eliezer, A Chaturvedi
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Articles 1–10