Maxime Sangnier
6 papers · 2016–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(11)
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Hot Topic Early Bird
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Research topics
Keywords
reproducing kernel hilbert space
(3)
quantile regression
(2)
coordinate descent
(2)
multi-task learning
(2)
representer theorem
(1)
time series
(1)
support vector regression
(1)
epsilon-insensitive loss
(1)
nonparametric estimation
(1)
cost-sensitive classification
(1)
conditional intensity
(1)
similarity function
(1)
generalization guarantee
(1)
conditional quantile
(1)
generative adversarial network
(1)
hawkes process
(1)
decision function
(1)
operator-valued kernel
(1)
kernel hilbert space
(1)
wasserstein gan
(1)
Papers
Nonparametric estimation of Hawkes processes with RKHSs
AISTATS 2025
Some Theoretical Insights into Wasserstein GANs
JMLR 2021
Infinite Task Learning in RKHSs
AISTATS 2019
Data sparse nonparametric regression with $ε$-insensitive losses
ACML 2017
Early and Reliable Event Detection Using Proximity Space Representation
ICML 2016
Joint quantile regression in vector-valued RKHSs
NeurIPS 2016