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pro vyhledávání: '"Mulay, Ajinkya Kiran"'
Autor:
Mulay, Ajinkya Kiran, Lin, Xiaojun
Sparse basis recovery is a classical and important statistical learning problem when the number of model dimensions $p$ is much larger than the number of samples $n$. However, there has been little work that studies sparse basis recovery in the Feder
Externí odkaz:
http://arxiv.org/abs/2402.19016
