Ghazi, B., Golowich, N., Kumar, R., Manurangsi, P., & Science, M. I. o. T. D. o. E. E. a. C. (2022). Sample-Efficient Proper PAC Learning with Approximate Differential Privacy. ACM|Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing.
Chicago Style (17th ed.) CitationGhazi, Badih, Noah Golowich, Ravi Kumar, Pasin Manurangsi, and Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Sample-Efficient Proper PAC Learning with Approximate Differential Privacy. ACM|Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2022.
MLA (9th ed.) CitationGhazi, Badih, et al. Sample-Efficient Proper PAC Learning with Approximate Differential Privacy. ACM|Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2022.