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Average case analysis of Lasso under ultra sparse conditions.
Koki Okajima
Xiangming Meng
Takashi Takahashi
Yoshiyuki Kabashima
Published in:
AISTATS (2023)
Keyphrases
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average case
worst case
learning curves
lower bound
high speed
image processing
reinforcement learning
high dimensional
sufficient conditions
sparse representation
cross validation
variable selection
uniform distribution