Ayoub El Hanchi
6 papers · 2020–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
Venues
Top co-authors
Research topics
Keywords
linear regression
(3)
stochastic gradient descent
(2)
learning theory
(2)
empirical risk minimization
(2)
importance sampling
(2)
variance reduction
(2)
logistic regression
(1)
sample complexity
(1)
minimax optimality
(1)
dynamic regret
(1)
quantile risk
(1)
sample covariance matrix
(1)
kernel pca
(1)
p-norm linear regression
(1)
markov chain
(1)
strongly convex
(1)
excess risk
(1)
contrastive learning
(1)
excess risk bound
(1)
gaussian noise
(1)
Papers
Minimax Linear Regression under the Quantile Risk
COLT 2024
On the Efficiency of ERM in Feature Learning
NeurIPS 2024
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
ICLR 2023
Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression
NeurIPS 2023
Stochastic Reweighted Gradient Descent
ICML 2022
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes
NeurIPS 2020