Patricia Reynaud-Bouret
4 papers · 2012–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🏃 Academic Marathon (13) 🐝 Cross-Pollinator (13)
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Hot Topic Early Bird
Conferences
AISTATS (2)
COLT (1)
ICML (1)
Top co-authors
Research topics
Keywords
online learning
(1)
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)
local learning rule
(1)
stochastic bandit
(1)
convergence bound
(1)
hawkes process
(1)
polynomial convergence
(1)
wild bootstrap
(1)
kernel methods
(1)
Papers
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