4 citations · 7 across the 5 of their papers we have counts for
5 papers
Optimal Multi-Objective Best Arm Identification with Fixed Confidence
Zhirui Chen, P. N. Karthik, Yeow Meng Chee +1
We consider a multi-armed bandit setting with finitely many arms, in which each arm yields an -dimensional vector reward upon selection. We assume that the reward of each dimens…
On the Exponential Convergence for Offline RLHF with Pairwise Comparisons
Zhirui Chen, Vincent Y. F. Tan
We consider the problem of offline reinforcement learning from human feedback (RLHF) with pairwise comparisons proposed by Zhu et al. (2023), where the implicit reward is a linear…
Fixed-Budget Differentially Private Best Arm Identification
Zhirui Chen, P. N. Karthik, Yeow Meng Chee +1
We study best arm identification (BAI) in linear bandits in the fixed-budget regime under differential privacy constraints, when the arm rewards are supported on the unit interval.…
Federated Best Arm Identification with Heterogeneous Clients
Zhirui Chen, P. N. Karthik, Vincent Y. F. Tan +1
We study best arm identification in a federated multi-armed bandit setting with a central server and multiple clients, when each client has access to a {\em subset} of arms and eac…
PointBA: Towards Backdoor Attacks in 3D Point Cloud
Xinke Li, Zhirui Chen, Yue Zhao +4
3D deep learning has been increasingly more popular for a variety of tasks including many safety-critical applications. However, recently several works raise the security issues of…