Stabilizing Private LASSO under Heterogeneous Covariates via Anisotropic Objective Perturbation

arXiv:2605.01492 · stat.ML, cs.IT, cs.LG, math.IT · Submitted 2026-05-02 · Read on arXiv

stat.ML, cs.IT, cs.LG, math.IT

Submitted: 2026-05-02

Updated: 2026-09-02

Terminology

• Accuracy — 9× in this paper · explained in 1 episode
• Generalization — 9× in this paper · explained in 13 episodes
• Approximate Message Passing — 7× in this paper
• Differential Privacy — 7× in this paper · explained in 4 episodes
• Anisotropy — 6× in this paper · explained in 3 episodes
• Decoupling — 3× in this paper · explained in 2 episodes
• Sparsity — 3× in this paper · explained in 4 episodes
• Algorithmic Stability — 1× in this paper · explained in 1 episode
• Differential Privacy (DP) — 1× in this paper · explained in 7 episodes
• Differentially Private — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes

Sources

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

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