Ruida Zhou

发表

Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning

P. R. Kumar, D. Kalathil, Tao-Wen Liu, 2022, ArXiv.

On the Information Leakage in Private Information Retrieval Systems

C. Tian, Ruida Zhou, Tao Guo, 2019, IEEE Transactions on Information Forensics and Security.

Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning

P. R. Kumar, D. Kalathil, Tao-Wen Liu, 2022, NeurIPS.

On Top-k Selection from m-wise Partial Rankings via Borda Counting

Cong Shen, Chao Tian, Ruida Zhou, 2020, 2020 IEEE International Symposium on Information Theory (ISIT).

Regional Multi-Armed Bandits

Cong Shen, Zhiyang Wang, Ruida Zhou, 2018, AISTATS.

Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs

P. R. Kumar, D. Kalathil, Tao Liu, 2021, NeurIPS.

Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem

C. Tian, Ruida Zhou, Tie Liu, 2023, 2023 IEEE International Symposium on Information Theory (ISIT).

Individually Conditional Individual Mutual Information Bound on Generalization Error pdf

Ruida Zhou, Tie Liu, Chao Tian, 2020, 2021 IEEE International Symposium on Information Theory (ISIT).

Capacity-Achieving Private Information Retrieval Codes from MDS-Coded Databases with Minimum Message Size

C. Tian, Hua Sun, Ruida Zhou, 2019, 2019 IEEE International Symposium on Information Theory (ISIT).

Two-Level Private Information Retrieval

J. Plank, C. Tian, Hua Sun, 2022, IEEE Journal on Selected Areas in Information Theory.

Improved Weakly Private Information Retrieval Codes

C. Tian, Ruida Zhou, Chen Qian, 2022, 2022 IEEE International Symposium on Information Theory (ISIT).

Two-Level Private Information Retrieval

Chao Tian, Hua Sun, Ruida Zhou, 2021, 2021 IEEE International Symposium on Information Theory (ISIT).

New Results on the Storage-Retrieval Tradeoff in Private Information Retrieval Systems pdf

Ruida Zhou, Tao Guo, Chao Tian, 2020, IEEE Journal on Selected Areas in Information Theory.

Weakly Private Information Retrieval Under the Maximal Leakage Metric

Chao Tian, Ruida Zhou, Tao Guo, 2020, 2020 IEEE International Symposium on Information Theory (ISIT).

Capacity-Achieving Private Information Retrieval Codes From MDS-Coded Databases With Minimum Message Size

Ruida Zhou, Tie Liu, Chao Tian, 2020, IEEE Transactions on Information Theory.

Approximate Top-m Arm Identification with Heterogeneous Reward Variances

Ruida Zhou, Chao Tian, 2022, AISTATS.

Cost-Aware Cascading Bandits

Cong Shen, Jing Yang, Ruida Zhou, 2018, IEEE Transactions on Signal Processing.

On the Information Leakage in Private Information Retrieval Systems

Chao Tian, Ruida Zhou, Tao Guo, 2020, 2020 IEEE International Symposium on Information Theory (ISIT).

Cost-Aware Cascading Bandits

Cong Shen, Ruida Zhou, Jing Yang, 2018, IEEE Transactions on Signal Processing.

Neighbor Cell List Optimization in Handover Management Using Cascading Bandits Algorithm

Jian Yang, Xiaofeng Jiang, Shuangwu Chen, 2020, IEEE Access.

A Cascading Bandit Approach To Efficient Mobility Management In Ultra-Dense Networks

Chao Wang, Jing Yang, Ruida Zhou, 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP).

Cost-Aware Learning and Optimization for Opportunistic Spectrum Access

Cong Shen, Ruida Zhou, Chao Gan, 2018, IEEE Transactions on Cognitive Communications and Networking.

Fast Global Convergence of Policy Optimization for Constrained MDPs pdf

Dileep Kalathil, P. R. Kumar, Tao Liu, 2021, ArXiv.

Cost-Aware Learning and Optimization for Opportunistic Spectrum Access

Jing Yang, Ruida Zhou, Chao Gan, 2020, 2020 Information Theory and Applications Workshop (ITA).

Stochastic Chaining and Strengthened Information-Theoretic Generalization Bounds

C. Tian, Ruida Zhou, Tie Liu, 2022, 2022 IEEE International Symposium on Information Theory (ISIT).

Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation

D. Kalathil, Tao Liu, Ruida Zhou, 2023, ArXiv.

Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation

D. Kalathil, Tao Liu, Ruida Zhou, 2023, NeurIPS.

Policy Optimization for Constrained MDPs with Provable Fast Global Convergence

D. Kalathil, Tao-Wen Liu, Ruida Zhou, 2021, 2111.00552.

Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales

Tao Liu, Xi Liu, Ruida Zhou, 2021, NeurIPS.