Patricia Reynaud-Bouret
5 papers · 2012–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Half
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Interdisciplinary
(1)
Reinforcement Learning
(1)
Applications
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Science
(1)
Statistics
(1)
Keywords
local learning rule
(2)
hawkes process
(2)
hypothesis testing
(1)
two-sample test
(1)
synaptic learning
(1)
maximum likelihood estimation
(1)
non-asymptotic analysis
(1)
exp3 algorithm
(1)
learning rate
(1)
regret bound
(1)
spiking neuron
(1)
spiking neural network
(1)
contextual bandit
(1)
stochastic bandit
(1)
convergence bound
(1)
error bound
(1)
classification task
(1)
hold-out validation
(1)
expert aggregation
(1)
behavioral data
(1)
Papers
CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration
JMLR 2026
Model selection for behavioral learning data and applications to contextual bandits
AISTATS 2025
Provable local learning rule by expert aggregation for a Hawkes network
AISTATS 2024
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm
ICML 2023
Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems
COLT 2012