Provable training set debugging for linear regression
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Publication:2071505
DOI10.1007/s10994-021-06040-4OpenAlexW3195657009MaRDI QIDQ2071505
Xiaomin Zhang, Xiao-Jin Zhu, Po-Ling Loh
Publication date: 28 January 2022
Published in: Machine Learning (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.09009
Cites Work
- Unnamed Item
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- A class of algorithms for mixed-integer bilevel min-max optimization
- An exact algorithm for the bilevel mixed integer linear programming problem under three simplifying assumptions
- A note on the Hanson-Wright inequality for random vectors with dependencies
- High-dimensional Ising model selection using \(\ell _{1}\)-regularized logistic regression
- Lasso-type recovery of sparse representations for high-dimensional data
- The collected works of Wassily Hoeffding. Ed. by N. I. Fisher and P. K. Sen
- Linear regression with sparsely permuted data
- Robust Lasso With Missing and Grossly Corrupted Observations
- Outlier Detection Using Nonconvex Penalized Regression
- On Deriving the Inverse of a Sum of Matrices
- Cauchy's Interlace Theorem for Eigenvalues of Hermitian Matrices
- High-Dimensional Statistics
- High-Dimensional Probability
- Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)
- Corrupted Sensing: Novel Guarantees for Separating Structured Signals
