8 citations · 22 across the 11 of their papers we have counts for
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cs.IT2022★ 5 cited
Spectral Universality of Regularized Linear Regression with Nearly Deterministic Sensing Matrices
Rishabh Dudeja, Subhabrata Sen, Yue M. Lu
It has been observed that the performances of many high-dimensional estimation problems are universal with respect to underlying sensing (or design) matrices. Specifically, matrice…
math.ST2022★ 4 cited
Statistical-Computational Trade-offs in Tensor PCA and Related Problems via Communication Complexity
Rishabh Dudeja, Daniel Hsu
Tensor PCA is a stylized statistical inference problem introduced by Montanari and Richard to study the computational difficulty of estimating an unknown parameter from higher-orde…
math.PR2022★ 1 cited
Universality of Approximate Message Passing with Semi-Random Matrices
Rishabh Dudeja, Yue M. Lu, Subhabrata Sen
Approximate Message Passing (AMP) is a class of iterative algorithms that have found applications in many problems in high-dimensional statistics and machine learning. In its gener…