YIHONG WU THESIS

More like this Computational and statistical boundaries for submatrix localization in a large noisy matrix Cai, T. MR Digital Object Identifier: December First available in Project Euclid: References [1] Addario-Berry, L. More by Zongming Ma Search this author in: On combinatorial testing problems.

References [1] Addario-Berry, L. This paper studies the minimax detection of a small submatrix of elevated mean in a large matrix contaminated by additive Gaussian noise. Zentralblatt MATH identifier You have partial access to this content. December First available in Project Euclid: Keywords Asymptotic equivalence high-dimensional statistics computational complexity minimax rate planted clique submatrix detection. On combinatorial testing problems.

December First available in Project Euclid: We provide proofs of Theorem 1 and Lemmas 5 and 6.

Shannon Theory for Compressed Sensing

More like this Computational and statistical boundaries for submatrix localization in a large noisy matrix Cai, T. Minimax procedures Keywords Asymptotic equivalence high-dimensional statistics computational complexity minimax rate planted clique submatrix detection Citation Ma, Zongming; Wu, Yihong. This paper studies the minimax detection of a small submatrix of elevated mean in a wuu matrix contaminated by additive Gaussian noise.

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yihong wu thesis

More by Yihong Wu Search this author in: Google Scholar Project Euclid. You have access to this content.

To investigate the tradeoff between ylhong performance and computational cost from a complexity-theoretic perspective, we consider a sequence of discretized models which are asymptotically equivalent to the Gaussian model. You do not have access to this content.

Publications

More by Zongming Ma Search this author in: References [1] Addario-Berry, L. MR Digital Object Identifier: Zentralblatt MATH identifier Yihomg combinatorial testing problems. Keywords Asymptotic equivalence high-dimensional statistics computational complexity minimax rate planted clique submatrix detection. Computational barriers in minimax submatrix detection.

Permanent link to this document https: Computational and statistical boundaries for submatrix localization in a large noisy matrix Cai, T. Implications on the hardness of support recovery are also obtained.

yihong wu thesis

You have partial access to this content. Ma, Zongming; Wu, Yihong. Using Schatten norm loss as a representative example, we show that the hardness of attaining the minimax estimation rate can crucially depend on the loss function.

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yihong wu thesis

Article information Source Ann. Under the hypothesis that the planted clique detection problem cannot be solved in randomized polynomial time when the clique size is of smaller order thesls the square root of the graph size, the following phase transition phenomenon is established: Abstract Article info and citation First page References Supplemental materials Abstract This paper studies the minimax detection of tbesis small submatrix of elevated mean in a large matrix contaminated by additive Gaussian noise.

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