| 2025 | COLT | Better Private Distribution Testing by Leveraging Unverified Auxiliary Data. | Maryam Aliakbarpour, Arnav Burudgunte, Clment L. Canonne, Ronitt Rubinfeld |
| 2025 | FOCS | Instance-Optimal Uniformity Testing and Tracking. | Guy Blanc, Clment L. Canonne, Erik Waingarten |
| 2025 | PODC | Brief Announcement: Local Computation Algorithms for Knapsack: impossibility results, and how to avoid them. | Clment L. Canonne, Yun Li, Seeun William Umboh |
| 2024 | ALT | Learning bounded-degree polytrees with known skeleton. | Davin Choo, Joy Qiping Yang, Arnab Bhattacharyya, Clment L. Canonne |
| 2024 | COLT | Open Problem: Tight Characterization of Instance-Optimal Identity Testing. | Clment L. Canonne |
| 2023 | FOCS | The Full Landscape of Robust Mean Testing: Sharp Separations between Oblivious and Adaptive Contamination. | Clment L. Canonne, Samuel B. Hopkins, Jerry Li, Allen Liu, Shyam Narayanan |
| 2023 | ISIT | Near-Optimal Degree Testing for Bayes Nets. | Vipul Arora, Arnab Bhattacharyya, Clment L. Canonne, Joy Qiping Yang |
| 2023 | ISIT | Concentration Bounds for Discrete Distribution Estimation in KL Divergence. | Clment L. Canonne, Ziteng Sun, Ananda Theertha Suresh |
| 2023 | PODS | Corrigendum: Are Few Bins Enough: Testing Histogram Distributions. | Clment L. Canonne |
| 2022 | COLT | The Role of Interactivity in Structured Estimation. | Jayadev Acharya, Clment L. Canonne, Himanshu Tyagi, Ziteng Sun |
| 2022 | COLT | The Price of Tolerance in Distribution Testing. | Clment L. Canonne, Ayush Jain, Gautam Kamath, Jerry Li |
| 2021 | ISAAC | Identity Testing Under Label Mismatch. | Clment L. Canonne, Karl Wimmer |
| 2021 | ISIT | Interactive Inference under Information Constraints. | Jayadev Acharya, Clment L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi |
| 2021 | SODA | Random Restrictions of High Dimensional Distributions and Uniformity Testing with Subcube Conditioning. | Clment L. Canonne, Xi Chen, Gautam Kamath, Amit Levi, Erik Waingarten |
| 2020 | COLT | Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. | Jayadev Acharya, Clment L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi |
| 2020 | COLT | Distributed Signal Detection under Communication Constraints. | Jayadev Acharya, Clment L. Canonne, Himanshu Tyagi |
| 2020 | SODA | Learning from satisfying assignments under continuous distributions. | Clment L. Canonne, Anindya De, Rocco A. Servedio |
| 2019 | AISTATS | Test without Trust: Optimal Locally Private Distribution Testing. | Jayadev Acharya, Clment L. Canonne, Cody Freitag, Himanshu Tyagi |
| 2019 | COLT | Inference under Information Constraints: Lower Bounds from Chi-Square Contraction. | Jayadev Acharya, Clment L. Canonne, Himanshu Tyagi |
| 2019 | FOCS | Finding Monotone Patterns in Sublinear Time. | Omri Ben-Eliezer, Clment L. Canonne, Shoham Letzter, Erik Waingarten |
| 2019 | ICML | Communication-Constrained Inference and the Role of Shared Randomness. | Jayadev Acharya, Clment L. Canonne, Himanshu Tyagi |
| 2019 | STOC | The structure of optimal private tests for simple hypotheses. | Clment L. Canonne, Gautam Kamath, Audra McMillan, Adam D. Smith, Jonathan R. Ullman |
| 2018 | ITA | Testing Conditional Independence of Discrete Distributions. | Clment L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart |
| 2018 | SODA | Improved Bounds for Testing Forbidden Order Patterns. | Omri Ben-Eliezer, Clment L. Canonne |
| 2018 | SODA | Tolerant Junta Testing and the Connection to Submodular Optimization and Function Isomorphism. | Eric Blais, Clment L. Canonne, Talya Eden, Amit Levi, Dana Ron |
| 2018 | STOC | Testing conditional independence of discrete distributions. | Clment L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart |
| 2017 | COLT | Testing Bayesian Networks. | Clment L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart |
| 2017 | FOCS | Generalized Uniformity Testing. | Tugkan Batu, Clment L. Canonne |
| 2016 | PODS | Are Few Bins Enough: Testing Histogram Distributions. | Clment L. Canonne |
| 2016 | STACS | Testing Shape Restrictions of Discrete Distributions. | Clment L. Canonne, Ilias Diakonikolas, Themis Gouleakis, Ronitt Rubinfeld |
| 2015 | ICALP | Big Data on the Rise? - Testing Monotonicity of Distributions. | Clment L. Canonne |
| 2015 | ISIT | Adaptive estimation in weighted group testing. | Jayadev Acharya, Clment L. Canonne, Gautam Kamath |
| 2014 | ICALP | Testing Probability Distributions Underlying Aggregated Data. | Clment L. Canonne, Ronitt Rubinfeld |
| 2014 | SODA | Testing equivalence between distributions using conditional samples. | Clment L. Canonne, Dana Ron, Rocco A. Servedio |