On the computational complexity of private high-dimensional model selection via the exponential mechanism
We consider the problem of model selection in a high-dimensional sparse linear regression
model under the differential privacy framework. In particular, we consider the problem of …
model under the differential privacy framework. In particular, we consider the problem of …
Supervised homogeneity fusion: a combinatorial approach
Supervised homogeneity fusion: A combinatorial approach Page 1 The Annals of Statistics
2024, Vol. 52, No. 1, 285–310 https://doi.org/10.1214/23-AOS2347 © Institute of …
2024, Vol. 52, No. 1, 285–310 https://doi.org/10.1214/23-AOS2347 © Institute of …
High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspective
We study the problem of exact support recovery for high-dimensional sparse linear
regression under independent Gaussian design when the signals are weak, rare, and …
regression under independent Gaussian design when the signals are weak, rare, and …
Statistics in the Modern Era: High Dimensions, Decision-Making, and Privacy
S Roy - 2024 - deepblue.lib.umich.edu
High dimensional data analysis has become increasingly frequent and important in diverse
fields of sciences, engineering, genomics, and machine learning (ML), and it has quite …
fields of sciences, engineering, genomics, and machine learning (ML), and it has quite …