Clément L. Canonne

Orcid: 0000-0001-7153-5211

Affiliations:
  • University of Sydney, School of Computer Science, NSW, Australia
  • IBM Almaden Research Center, San Jose, CA, USA
  • Stanford University, CA, USA
  • Columbia University, New York, NY, USA


According to our database1, Clément L. Canonne authored at least 69 papers between 2012 and 2024.

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Bibliography

2024
Optimal Rates for Nonparametric Density Estimation Under Communication Constraints.
IEEE Trans. Inf. Theory, 2024

Simpler Distribution Testing with Little Memory.
Proceedings of the 2024 Symposium on Simplicity in Algorithms, 2024

Private Distribution Testing with Heterogeneous Constraints: Your Epsilon Might Not Be Mine.
Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

Learning bounded-degree polytrees with known skeleton.
Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023
Tight Bounds for Machine Unlearning via Differential Privacy.
CoRR, 2023

Corrigendum: Are Few Bins Enough: Testing Histogram Distributions.
Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2023

Private Distribution Learning with Public Data: The View from Sample Compression.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Concentration Bounds for Discrete Distribution Estimation in KL Divergence.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Near-Optimal Degree Testing for Bayes Nets.
Proceedings of the IEEE International Symposium on Information Theory, 2023

The Full Landscape of Robust Mean Testing: Sharp Separations between Oblivious and Adaptive Contamination.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

2022
Interactive Inference Under Information Constraints.
IEEE Trans. Inf. Theory, 2022

Discrete Gaussian for Differential Privacy.
J. Priv. Confidentiality, 2022

Topics and Techniques in Distribution Testing: A Biased but Representative Sample.
Found. Trends Commun. Inf. Theory, 2022

Lemmas of Differential Privacy.
CoRR, 2022

Near-Optimal Bounds for Testing Histogram Distributions.
CoRR, 2022

Private independence testing across two parties.
CoRR, 2022

Optimal Closeness Testing of Discrete Distributions Made (Complex) Simple.
CoRR, 2022

Independence Testing for Bounded Degree Bayesian Network.
CoRR, 2022

Uniformity Testing in the Shuffle Model: Simpler, Better, Faster.
Proceedings of the 5th Symposium on Simplicity in Algorithms, 2022

Robust Testing in High-Dimensional Sparse Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Nearly-Tight Bounds for Testing Histogram Distributions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Independence Testing for Bounded Degree Bayesian Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Price of Tolerance in Distribution Testing.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

The Role of Interactivity in Structured Estimation.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
Inference Under Information Constraints III: Local Privacy Constraints.
IEEE J. Sel. Areas Inf. Theory, 2021

Information-constrained optimization: can adaptive processing of gradients help?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Identity Testing Under Label Mismatch.
Proceedings of the 32nd International Symposium on Algorithms and Computation, 2021

2020
Testing Bayesian Networks.
IEEE Trans. Inf. Theory, 2020

Inference Under Information Constraints II: Communication Constraints and Shared Randomness.
IEEE Trans. Inf. Theory, 2020

Inference Under Information Constraints I: Lower Bounds From Chi-Square Contraction.
IEEE Trans. Inf. Theory, 2020

Testing Data Binnings.
Electron. Colloquium Comput. Complex., 2020

Robust quantum minimum finding with an application to hypothesis selection.
CoRR, 2020

Learning from satisfying assignments under continuous distributions.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Private Identity Testing for High-Dimensional Distributions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Distributed Signal Detection under Communication Constraints.
Proceedings of the Conference on Learning Theory, 2020

2019
Distribution Testing Lower Bounds via Reductions from Communication Complexity.
ACM Trans. Comput. Theory, 2019

Testing k-Monotonicity: The Rise and Fall of Boolean Functions.
Theory Comput., 2019

Random Restrictions of High-Dimensional Distributions and Uniformity Testing with Subcube Conditioning.
Electron. Colloquium Comput. Complex., 2019

Finding monotone patterns in sublinear time.
Electron. Colloquium Comput. Complex., 2019

Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit.
Electron. Colloquium Comput. Complex., 2019

The structure of optimal private tests for simple hypotheses.
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

Communication-Constrained Inference and the Role of Shared Randomness.
Proceedings of the 36th International Conference on Machine Learning, 2019

Inference under Information Constraints: Lower Bounds from Chi-Square Contraction.
Proceedings of the Conference on Learning Theory, 2019

Test without Trust: Optimal Locally Private Distribution Testing.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
A Chasm Between Identity and Equivalence Testing with Conditional Queries.
Theory Comput., 2018

Sampling Correctors.
SIAM J. Comput., 2018

Testing Shape Restrictions of Discrete Distributions.
Theory Comput. Syst., 2018

Distributed Simulation and Distributed Inference.
Electron. Colloquium Comput. Complex., 2018

An adaptivity hierarchy theorem for property testing.
Comput. Complex., 2018

Testing conditional independence of discrete distributions.
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018

Improved Bounds for Testing Forbidden Order Patterns.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

Testing for Families of Distributions via the Fourier Transform.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Property Testing and Probability Distributions: New Techniques, New Models, and New Goals.
PhD thesis, 2017

Fourier-Based Testing for Families of Distributions.
Electron. Colloquium Comput. Complex., 2017

Generalized Uniformity Testing.
Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017

2016
Testing k-Monotonicity.
Electron. Colloquium Comput. Complex., 2016

Alice and Bob Show Distribution Testing Lower Bounds (They don't talk to each other anymore.).
Electron. Colloquium Comput. Complex., 2016

Tolerant Junta Testing and the Connection to Submodular Optimization and Function Isomorphism.
Electron. Colloquium Comput. Complex., 2016

2015
Are Few Bins Enough: Testing Histogram Distributions.
Electron. Colloquium Comput. Complex., 2015

A Survey on Distribution Testing: Your Data is Big. But is it Blue?
Electron. Colloquium Comput. Complex., 2015

Adaptive estimation in weighted group testing.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Big Data on the Rise? - Testing Monotonicity of Distributions.
Proceedings of the Automata, Languages, and Programming - 42nd International Colloquium, 2015

2014
Testing probability distributions underlying aggregated data.
Electron. Colloquium Comput. Complex., 2014

Communication with Imperfectly Shared Randomness.
Electron. Colloquium Comput. Complex., 2014

Learning circuits with few negations.
Electron. Colloquium Comput. Complex., 2014

Testing equivalence between distributions using conditional samples.
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

2012
Testing probability distributions using conditional samples.
Electron. Colloquium Comput. Complex., 2012


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