Guillaume Lecue
6 papers · 2006–2024 · 2 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (14)
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Keyword Pioneer
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Research topics
Keywords
empirical risk minimization
(2)
model selection
(2)
semidefinite programming
(1)
convex optimization
(1)
density estimation
(1)
supervised learning
(1)
robust statistics
(1)
model aggregation
(1)
community detection
(1)
sparse principal component analysis
(1)
kullback-leibler divergence
(1)
lasso regression
(1)
stochastic process
(1)
robust estimation
(1)
maximum mean discrepancy
(1)
regularization parameter
(1)
excess risk bound
(1)
kernel mean embedding
(1)
gaussian mixture model
(1)
exponential weight
(1)
Papers
Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA.
JMLR 2024
Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature
JMLR 2021
MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means
ICML 2019
Regularization and the small-ball method II: complexity dependent error rates
JMLR 2017
Hyper-Sparse Optimal Aggregation
JMLR 2011
Lower Bounds and Aggregation in Density Estimation
JMLR 2006