Clément Canonne
(Still under construction—yes, I'm that slow)
Contact information
 Phone
 3474036758
 <initial><last name>@cs.columbia.edu (OpenPGP key)
 Mailing address

476 Central Park West — #4C
New York, NY 10025
About me
I am a Theory PhD student in the Computer Science department of Columbia University, where my adviser is Prof. Rocco Servedio. Prior to that, I received a M.Sc. in Computer Science from the Parisian Master of Research in Computer Science, in Paris, and an engineering degree from one of France's "Grand Schools", the Ecole Centrale Paris.
Here is a link to my résumé (updated 05/05/2015).
Here is a link to my résumé (updated 05/05/2015).
Research Interests
My main areas of study are Learning Theory, Property Testing and, more generally, randomized algorithms. However, I do also have a strong interest in online and approximation Algorithms, as well as stochastic processes.
Teaching
 Spring 2015: COMS E6232 — Analysis of Algorithms, II (Teaching Assistant)
 Fall 2014: COMS 4252 — Introduction to Computational Learning Theory (Teaching Assistant)
 Spring 2014: COMS 6998 — Sublinear Time Algorithms in Learning and Property Testing (Teaching Assistant)
 Fall 2013: COMS 4252 — Introduction to Computational Learning Theory (Teaching Assistant)
 Spring 2013: COMS E6232 — Analysis of Algorithms, II (Teaching Assistant)
 Fall 2012: COMS 4252 — Introduction to Computational Learning Theory (Teaching Assistant)
Papers
 Testing Shape Restrictions of Discrete Distributions
 C. Canonne, I. Diakonikolas, T. Gouleakis and R. Rubinfeld
 Manuscript, 2015.
 Learning circuits with few negations ([ECCC TR14144])
 E. Blais, C. Canonne, I. Oliveira, R. Servedio and L.Y. Tan
 19th International Workshop on Randomization and Computation (RANDOM), 2015 (to appear).
 A Chasm Between Identity and Equivalence Testing with Conditional Queries ([ECCC TR14156])
 J. Acharya, C. Canonne, G. Kamath
 19th International Workshop on Randomization and Computation (RANDOM), 2015 (to appear).
 Big Data on the Rise: Testing monotonicity of distributions ([slides])
 C. Canonne
 42nd International Conference on Automata, Languages and Programming (ICALP), 2015.
 Sampling Correctors
 C. Canonne, T. Gouleakis and R. Rubinfeld
 Manuscript, 2015.
 Adaptive Estimation in Weighted Group Testing
 J. Acharya, C. Canonne, G. Kamath
 Proceedings of the 2015 IEEE International Symposium on Information Theory (ISIT 2015).
 Communication with Imperfectly Shared Randomness ([ECCC TR14153], [slides])
 C. Canonne, V. Guruswami, R. Meka and M. Sudan
 6th Innovations in Theoretical Computer Science (ITCS), 2015.
 Testing probability distributions underlying aggregated data ([ECCC TR14021], [slides])
 C. Canonne and R. Rubinfeld
 41st International Conference on Automata, Languages and Programming (ICALP), 2014.
 Testing equivalence between distributions using conditional samples ([slides])
 C. Canonne, D. Ron and R. Servedio
 ACMSIAM Symposium on Discrete Algorithms (SODA), 2014.
 Testing probability distributions using conditional samples ([ECCC TR12155], [arXiv], [slides])
 C. Canonne, D. Ron and R. Servedio.
 SIAM Journal on Computing (SICOMP), 44(3), 2015.
Miscellaneous
I like this word. Miscellaneous.
 Learning circuits with few negations [slides]
 Presentation given at LIAFA on June 23, 2015.
 A Survey on Distribution Testing: Your Data is Big. But is it Blue? ([ECCC TR15063], [bib])
 Survey, 2015. (most recent version)
 A short note on Assouad and Le Cam's lemmas
 Technical thingy, 2015.
 Communication with Imperfect Shared Randomness [slides]
 Presentation given at Columbia University (November 7), IBM T.J. Watson Research Center (November 19), 2014 (long version of the ITCS'15 talk).
 Testing probability distributions with more oracles [slides]
 Presentation given at Columbia University on February 7, 2014 (long version of the ICALP'14 talk).
 Dompter les Distributions de Probabilité Géantes [FR]
 Translation of Taming Big Probability Distributions, by Ronitt Rubinfeld (DOI:10.1145/2331042.2331052).
 Testing probability distributions using conditional samples [slides]
 Presentation given at Columbia University, NYU Poly, and MIT, 2013.