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most citedEffect of Weight Quantization on Learning Models by Typical Case Analysis

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stat.ML2026

Stabilizing Private LASSO under Heterogeneous Covariates via Anisotropic Objective Perturbation

Haruka Tanzawa, Ayaka Sakata

We study high-dimensional LASSO under differential privacy via objective perturbation with heterogeneous covariate scales. In practical scenarios, covariates often exhibit diverse…

stat.ML2026

Privacy-Accuracy Trade-offs in High-Dimensional LASSO under Perturbation Mechanisms

Ayaka Sakata, Haruka Tanzawa

We study privacy-preserving sparse linear regression in the high-dimensional regime, focusing on the LASSO estimator. We analyze two widely used mechanisms for differential privacy…