Theo dõi
Clément L. Canonne
Clément L. Canonne
University of Sydney
Email được xác minh tại sydney.edu.au - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
The discrete gaussian for differential privacy
CL Canonne, G Kamath, T Steinke
Advances in Neural Information Processing Systems 33, 15676-15688, 2020
3152020
A survey on distribution testing: Your data is big. But is it blue?
CL Canonne
Theory of Computing, 1-100, 2020
2682020
Inference under information constraints I: Lower bounds from chi-square contraction
J Acharya, CL Canonne, H Tyagi
IEEE Transactions on Information Theory 66 (12), 7835-7855, 2020
1312020
A short note on Poisson tail bounds
C Canonne
Retrieved from the website: http://www. cs. columbia. edu/ccanonne, 2017
103*2017
Testing shape restrictions of discrete distributions
CL Canonne, I Diakonikolas, T Gouleakis, R Rubinfeld
Theory of Computing Systems 62 (1), 4-62, 2018
972018
The structure of optimal private tests for simple hypotheses
CL Canonne, G Kamath, A McMillan, A Smith, J Ullman
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing …, 2019
912019
Testing bayesian networks
CL Canonne, I Diakonikolas, DM Kane, A Stewart
Conference on Learning Theory, 370-448, 2017
872017
Testing probability distributions using conditional samples
CL Canonne, D Ron, RA Servedio
SIAM Journal on Computing 44 (3), 540-616, 2015
872015
A short note on learning discrete distributions
CL Canonne
arXiv preprint arXiv:2002.11457, 2020
772020
Test without trust: Optimal locally private distribution testing
J Acharya, C Canonne, C Freitag, H Tyagi
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
742019
Inference under information constraints II: Communication constraints and shared randomness
J Acharya, CL Canonne, H Tyagi
IEEE Transactions on Information Theory 66 (12), 7856-7877, 2020
732020
Topics and techniques in distribution testing: A biased but representative sample
CL Canonne
Foundations and Trends® in Communications and Information Theory 19 (6 …, 2022
67*2022
Distribution testing lower bounds via reductions from communication complexity
E Blais, CL Canonne, T Gur
ACM Transactions on Computation Theory (TOCT) 11 (2), 1-37, 2019
67*2019
Testing conditional independence of discrete distributions
CL Canonne, I Diakonikolas, DM Kane, A Stewart
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018
582018
Testing probability distributions underlying aggregated data
C Canonne, R Rubinfeld
International Colloquium on Automata, Languages, and Programming, 283-295, 2014
562014
Unified lower bounds for interactive high-dimensional estimation under information constraints
J Acharya, CL Canonne, Z Sun, H Tyagi
Advances in Neural Information Processing Systems 36, 51133-51165, 2023
55*2023
Interactive inference under information constraints
J Acharya, CL Canonne, Y Liu, Z Sun, H Tyagi
IEEE Transactions on Information Theory 68 (1), 502-516, 2021
542021
Inference under information constraints III: Local privacy constraints
J Acharya, CL Canonne, C Freitag, Z Sun, H Tyagi
IEEE Journal on Selected Areas in Information Theory 2 (1), 253-267, 2021
532021
Learning circuits with negations
E Blais, C Canonne, IC Oliveira, RA Servedio, LY Tan
48*2014
Private identity testing for high-dimensional distributions
CL Canonne, G Kamath, A McMillan, J Ullman, L Zakynthinou
Advances in neural information processing systems 33, 10099-10111, 2020
472020
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