Jaouad Mourtada
8 papers · 2017–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
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Keyword Champion
🚀
Conference Pioneer
Top co-authors
Research topics
Keywords
support vector machine
(2)
prediction with expert advice
(2)
convex optimization
(2)
random subspace
(2)
online learning
(2)
empirical risk minimization
(2)
regret bound
(2)
kernel methods
(2)
density estimation
(1)
asymptotic analysis
(1)
logistic regression
(1)
deviation bounds
(1)
signal-to-noise ratio
(1)
convex loss
(1)
statistical consistency
(1)
shifting regret
(1)
hedge algorithm
(1)
regularization theory
(1)
nyström method
(1)
sample complexity
(1)
Papers
The Nyström method for convex loss functions
JMLR 2024
Local Risk Bounds for Statistical Aggregation
COLT 2023
An Improper Estimator with Optimal Excess Risk in Misspecified Density Estimation and Logistic Regression
JMLR 2022
Asymptotics of Ridge(less) Regression under General Source Condition
AISTATS 2021
Regularized ERM on random subspaces
AISTATS 2021
On the optimality of the Hedge algorithm in the stochastic regime
JMLR 2019
Efficient tracking of a growing number of experts
ALT 2017
Universal consistency and minimax rates for online Mondrian Forests
NeurIPS 2017