Bayesian Frequency Estimation under Local Differential Privacy with an Adaptive Randomized Response Mechanism
Frequency estimation plays a critical role in many applications involving personal and private categorical data. Such data are often collected sequentially over time, making it valuable to estimate their distribution online while preserving privacy. We ...
AdaptSel: Adaptive Selection of Biased and Debiased Recommendation Models for Varying Test Environments
Recommendation systems are frequently challenged by pervasive biases in the training set that can compromise model effectiveness. To address this issue, various debiasing techniques have been developed to eliminate biases and produce debiased models. ...
Adaptive Rumor Suppression on Social Networks: A Multi-Round Hybrid Approach
Rumor suppression is targeted at diminishing the impact of false and negative information within social networks by decreasing the prevalence of belief in such rumors among individuals, utilizing diverse strategies. Previous studies have broadly ...
Learning Knowledge-diverse Experts for Long-tailed Graph Classification
Graph neural networks (GNNs) have shown remarkable success in graph-level classification tasks. However, most of the existing GNN-based studies are based on balanced datasets, while many real-world datasets exhibit long-tailed distributions. In such ...
