Clément L Canonne
14 papers · 2018–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (22)
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(58)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(13)
Mathematics & Optimization
(10)
Mathematics
(9)
Artificial Intelligence
(4)
Application Areas
(3)
Computer Science
(2)
Security & Privacy
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core AI
(2)
Differential Privacy
(2)
Statistics
(2)
Systems
(2)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Keywords
sample complexity
(9)
total variation distance
(4)
hypothesis testing
(4)
distribution testing
(4)
bayesian network
(3)
gaussian distribution
(3)
differential privacy
(3)
distribution learning
(2)
information constraint
(2)
distributed hypothesis testing
(2)
signal detection
(2)
shared randomness
(2)
communication constraint
(2)
goodness-of-fit testing
(2)
property testing
(2)
product distribution
(2)
sparse linear regression
(1)
high-dimensional statistics
(1)
independence testing
(1)
sensitivity analysis
(1)
Papers
Entropy testing and its application to testing Bayesian networks
NeurIPS 2024
Learning bounded-degree polytrees with known skeleton
ALT 2024
Private Distribution Learning with Public Data: The View from Sample Compression
NeurIPS 2023
Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints
NeurIPS 2023
Independence Testing for Bounded Degree Bayesian Networks
NeurIPS 2022
Nearly-Tight Bounds for Testing Histogram Distributions
NeurIPS 2022
Robust Testing in High-Dimensional Sparse Models
NeurIPS 2022
The Price of Tolerance in Distribution Testing
COLT 2022
Distributed Signal Detection under Communication Constraints
COLT 2020
Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit
COLT 2020
Private Identity Testing for High-Dimensional Distributions
NeurIPS 2020
The Discrete Gaussian for Differential Privacy
NeurIPS 2020
Inference under Information Constraints: Lower Bounds from Chi-Square Contraction
COLT 2019
Testing for Families of Distributions via the Fourier Transform
NeurIPS 2018