From the 1 of 5 linked papers with an AI index.
7 papers · 1 filter
Feature Bagging Provides Stability
Yuheng Ma, Qiang Sun
The paper investigates how aggregating models trained on random subsets of features (feature bagging) affects algorithmic stability, introducing a new metric called feature instabi…
PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure
Ke Jia, Yuheng Ma, Yang Li +1
We revisit the problem of generating synthetic data under differential privacy. To address the core limitations of marginal-based methods, we propose the Private Adaptive Generativ…
Bagged Regularized -Distances for Anomaly Detection
Yuchao Cai, Hanfang Yang, Yuheng Ma +1
We consider the paradigm of unsupervised anomaly detection, which involves the identification of anomalies within a dataset in the absence of labeled examples. Though distance-base…
Locally Private Nonparametric Contextual Multi-armed Bandits
Yuheng Ma, Feiyu Jiang, Zifeng Zhao +2
Motivated by privacy concerns in sequential decision-making on sensitive data, we address the challenge of nonparametric contextual multi-armed bandits (MAB) under local differenti…
Locally Private Estimation with Public Features
Yuheng Ma, Ke Jia, Hanfang Yang
We initiate the study of locally differentially private (LDP) learning with public features. We define semi-feature LDP, where some features are publicly available while the remain…
Better Locally Private Sparse Estimation Given Multiple Samples Per User
Yuheng Ma, Ke Jia, Hanfang Yang
Previous studies yielded discouraging results for item-level locally differentially private linear regression with -sparsity assumption, where the minimax rate for sample…