Nicole Muecke
4 papers · 2019–2022 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
Venues
Top co-authors
Research topics
Keywords
kernel ridge regression
(3)
convergence rate
(2)
stochastic gradient descent
(2)
benign overfitting
(1)
ridgeless regression
(1)
data splitting
(1)
distribution regression
(1)
tail averaging
(1)
least-squares learning
(1)
nyström subsampling
(1)
localized learning
(1)
partitioning approach
(1)
two-stage sampling
(1)
learning property
(1)
distributed learning
(1)
nonparametric learning
(1)
Papers
Data-splitting improves statistical performance in overparameterized regimes
AISTATS 2022
Stochastic Gradient Descent Meets Distribution Regression
AISTATS 2021
Beating SGD Saturation with Tail-Averaging and Minibatching
NeurIPS 2019
Reducing training time by efficient localized kernel regression
AISTATS 2019