Author

Raoof Zare Moayedi

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#machine learning Preprint Sep 2026

Geometry-Adaptive Mechanisms for Private Synthetic Data

Generating differentially private synthetic data with meaningful Wasserstein utility guarantees is challenging in high dimensions. For datasets of size $n$ on $[0,1]^d$ with $d\ge2$, existing pure $\varepsilon$-differentially private mechanisms achieve expected $1$-Wasserstein error of order $(\varepsilon n)^{-1/d}...

Raoof Zare Moayedi, Amir R. Asadi, M. Yassaee et al. · 0 citations

Jul 2026

Visual Distribution Anchoring for Efficient Prompt Tuning

This work proposes VDA (Visual Distribution Anchoring), a training-free target adaptation framework that augments a frozen semantic classifier with class-level visual prototypes estimated offline from an unlabeled target pool, and shows that class-specific partitioning drives gains and that visually local pseudo-label...

Pouya Parsa, Raoof Zare Moayedi, Seongjin Choi · arXiv.org · 0 citations