Clément L. Canonne

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Jayadev AcharyaAssistant Professor, Cornell UniversityVerified email at cornell.edu
Himanshu TyagiIndian Institute of ScienceVerified email at iisc.ac.in
Gautam KamathAssistant Professor @ University of Waterloo, Faculty Member @ Vector InstituteVerified email at uwaterloo.ca
Ilias DiakonikolasUniversity of Wisconsin-MadisonVerified email at wisc.edu
Ziteng SunResearch Scientist at GoogleVerified email at cornell.edu
Eric BlaisUniversity of WaterlooVerified email at uwaterloo.ca
Rocco Anthony ServedioDepartment of Computer Science, Columbia UniversityVerified email at columbia.edu
Alistair StewartWeb3 foundationVerified email at web3.foundation
Daniel KaneUniversity of California, San DiegoVerified email at ucsd.edu
Ronitt RubinfeldProfessor of Computer Science, MIT and Tel Aviv UniversityVerified email at csail.mit.edu
Tom GurUniversity of CambridgeVerified email at cam.ac.uk
Jonathan UllmanAssociate Professor of Computer Science, Northeastern UniversityVerified email at ccs.neu.edu
Audra McMillanAppleVerified email at apple.com
Themis GouleakisNanyang Technological UniversityVerified email at ntu.edu.sg
Thomas SteinkeGoogle DeepMindVerified email at google.com
Cody FreitagPostdoc, Northeastern University and Boston UniversityVerified email at northeastern.edu
Karl WimmerAssociate Professor of Mathematics, Duquesne UniversityVerified email at duq.edu
Adam SmithProfessor of Computer Science, Boston UniversityVerified email at bu.edu
Amit LeviUniversity of HaifaVerified email at ds.haifa.ac.il
Yuhan LiuCornell UniversityVerified email at cornell.edu

Clément L. Canonne

University of Sydney

Verified email at sydney.edu.au - Homepage

Computational Learning Property Testing Computational Complexity


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The discrete gaussian for differential privacy CL Canonne, G Kamath, T Steinke Advances in Neural Information Processing Systems 33, 15676-15688, 2020	313	2020
A survey on distribution testing: Your data is big. But is it blue? CL Canonne Theory of Computing, 1-100, 2020	261	2020
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	130	2020
A short note on Poisson tail bounds C Canonne Retrieved from the website: http://www. cs. columbia. edu/ccanonne, 2017	100*	2017
Testing shape restrictions of discrete distributions CL Canonne, I Diakonikolas, T Gouleakis, R Rubinfeld Theory of Computing Systems 62 (1), 4-62, 2018	95	2018
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	88	2019
Testing bayesian networks CL Canonne, I Diakonikolas, DM Kane, A Stewart Conference on Learning Theory, 370-448, 2017	87	2017
Testing probability distributions using conditional samples CL Canonne, D Ron, RA Servedio SIAM Journal on Computing 44 (3), 540-616, 2015	87	2015
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	74	2019
A short note on learning discrete distributions CL Canonne arXiv preprint arXiv:2002.11457, 2020	73	2020
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	72	2020
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
Topics and techniques in distribution testing: A biased but representative sample CL Canonne Foundations and Trends® in Communications and Information Theory 19 (6 …, 2022	66*	2022
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	58	2018
Testing probability distributions underlying aggregated data C Canonne, R Rubinfeld International Colloquium on Automata, Languages, and Programming, 283-295, 2014	57	2014
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	54	2021
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, 2024	52*	2024
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	51	2021
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	48	2020
A chasm between identity and equivalence testing with conditional queries J Acharya, CL Canonne, G Kamath arXiv preprint arXiv:1411.7346, 2014	48	2014

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