Daniel LeJeune
11 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (30) π£ Hot Topic Early Bird
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Keywords
ridge regularization
(2)
model compression
(2)
ridge regression
(2)
stochastic gradient descent
(1)
image denoising
(1)
working memory
(1)
feature selection
(1)
graph structure
(1)
neural network optimization
(1)
out-of-distribution generalization
(1)
nearest neighbor search
(1)
covariate shift
(1)
risk minimization
(1)
regularized risk minimization
(1)
large-scale learning
(1)
wavelet transform
(1)
distance estimation
(1)
arm selection
(1)
distribution shift
(1)
domain adaptation
(1)
Papers
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
JMLR 2025
Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
ICLR 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
JMLR 2024
Self-Consuming Generative Models Go MAD
ICLR 2024
A Blessing of Dimensionality in Membership Inference through Regularization
AISTATS 2023
WIRE: Wavelet Implicit Neural Representations
CVPR 2023
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization
NeurIPS 2021
The Implicit Regularization of Ordinary Least Squares Ensembles
AISTATS 2020
Thresholding Graph Bandits with GrAPL
AISTATS 2020
Adaptive Estimation for Approximate k-Nearest-Neighbor Computations
AISTATS 2019
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
ICML 2018