2 citations · 4 across the 4 of their papers we have counts for
4 papers
Federated Learning as a Network Effects Game
Shengyuan Hu, Dung Daniel Ngo, Shuran Zheng +2
Federated Learning (FL) aims to foster collaboration among a population of clients to improve the accuracy of machine learning without directly sharing local data. Although there h…
Incentivizing Combinatorial Bandit Exploration
Xinyan Hu, Dung Daniel Ngo, Aleksandrs Slivkins +1
Consider a bandit algorithm that recommends actions to self-interested users in a recommendation system. The users are free to choose other actions and need to be incentivized to f…
Improved Regret for Differentially Private Exploration in Linear MDP
Dung Daniel Ngo, Giuseppe Vietri, Zhiwei Steven Wu
We study privacy-preserving exploration in sequential decision-making for environments that rely on sensitive data such as medical records. In particular, we focus on solving the p…
Incentivizing Compliance with Algorithmic Instruments
Daniel Ngo, Logan Stapleton, Vasilis Syrgkanis +1
Randomized experiments can be susceptible to selection bias due to potential non-compliance by the participants. While much of the existing work has studied compliance as a static…