Maxime Sangnier
6 papers · 2016–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🏃 Academic Marathon (9) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer
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Hot Topic Early Bird
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Cross-Pollinator
(15)
Conferences
AISTATS (2)
ACML (1)
ICML (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
coordinate descent
(2)
quantile regression
(2)
reproducing kernel hilbert space
(2)
multi-task learning
(2)
time series
(1)
support vector regression
(1)
epsilon-insensitive loss
(1)
cost-sensitive classification
(1)
similarity function
(1)
generalization guarantee
(1)
conditional quantile
(1)
generative adversarial network
(1)
decision function
(1)
operator-valued kernel
(1)
kernel hilbert space
(1)
wasserstein gan
(1)
early detection
(1)
1-lipschitz constraint
(1)
empirical convergence
(1)
hyperparameter learning
(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
Joint quantile regression in vector-valued RKHSs
NIPS 2016
Early and Reliable Event Detection Using Proximity Space Representation
ICML 2016