Ruida Zhou

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 66

Top Topics

Generalization Error

Reinforcement Learning

Private Information Retrieval

Private Information

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Min Cheng, Ruida Zhou, P. R. Kumar, Chao Tian
Provable Policy Gradient Methods for Average-Reward Markov Potential Games. AISTATS (2024)
Ruida Zhou, Chao Tian
Staggered Quantizers for Perfect Perceptual Quality: A Connection Between Quantizers with Common Randomness and Without. ISIT (Workshops) (2024)
Ruida Zhou, Chao Tian, Tie Liu
Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Min Cheng, Ruida Zhou, P. R. Kumar, Chao Tian
Provable Policy Gradient Methods for Average-Reward Markov Potential Games. CoRR (2024)
Ruida Zhou, Chao Tian
Staggered Quantizers for Perfect Perceptual Quality: A Connection between Quantizers with Common Randomness and Without. CoRR (2024)
Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen
Latent 3D Graph Diffusion. ICLR (2024)
Wenyuan Zhao, Yu-Shin Huang, Ruida Zhou, Chao Tian
Weakly Private Information Retrieval from Heterogeneously Trusted Servers. CoRR (2024)
Kaan Ozkara, Bruce Huang, Ruida Zhou, Suhas N. Diggavi
Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning. CoRR (2024)
Qiang Zhang, Ruida Zhou, Yang Shen, Tie Liu
From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization. CoRR (2024)
Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen
Harnessing the Power of Federated Learning in Federated Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024)
Yuning You, Ruida Zhou, Yang Shen
Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with Population-Level Regularization. CoRR (2024)
Li Fan, Ruida Zhou, Chao Tian, Cong Shen
Federated Linear Bandits with Finite Adversarial Actions. NeurIPS (2023)
Youbang Sun, Tao Liu, Ruida Zhou, P. R. Kumar, Shahin Shahrampour
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games. CoRR (2023)
Ruida Zhou, Chao Tian, Tie Liu
Stochastic chaining and strengthened information-theoretic generalization bounds. J. Frankl. Inst. 360 (6) (2023)
Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation. NeurIPS (2023)
Li Fan, Ruida Zhou, Chao Tian, Cong Shen
Federated Linear Bandits with Finite Adversarial Actions. CoRR (2023)
Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation. CoRR (2023)
Ruida Zhou, Chao Tian, Tie Liu
Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem. CoRR (2023)
Ruida Zhou, Chao Tian, Tie Liu
Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem. ISIT (2023)
Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen
Harnessing the Power of Federated Learning in Federated Contextual Bandits. CoRR (2023)
Youbang Sun, Tao Liu, Ruida Zhou, P. R. Kumar, Shahin Shahrampour
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games. NeurIPS (2023)
Chengyuan Qian, Ruida Zhou, Chao Tian, Tie Liu
Improved Weakly Private Information Retrieval Codes. CoRR (2022)
Chengyuan Qian, Ruida Zhou, Chao Tian, Tie Liu
Improved Weakly Private Information Retrieval Codes. ISIT (2022)
Ruida Zhou, Chao Tian, Tie Liu
Stochastic Chaining and Strengthened Information-Theoretic Generalization Bounds. CoRR (2022)
Wenjing Chen, Ruida Zhou, Chao Tian, Cong Shen
On Top-$k$ Selection From $m$-Wise Partial Rankings via Borda Counting. IEEE Trans. Signal Process. 70 (2022)
Ruida Zhou, Chao Tian, Tie Liu
Stochastic Chaining and Strengthened Information-Theoretic Generalization Bounds. ISIT (2022)
Ruida Zhou, Tao Liu, Dileep M. Kalathil, P. R. Kumar, Chao Tian
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning. CoRR (2022)
Tao Liu, P. R. Kumar, Ruida Zhou, Xi Liu
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales. NeurIPS (2022)
Ruida Zhou, Chao Tian, Hua Sun, James S. Plank
Two-Level Private Information Retrieval. IEEE J. Sel. Areas Inf. Theory 3 (2) (2022)
Wenjing Chen, Ruida Zhou, Chao Tian, Cong Shen
On Top-k Selection from m-wise Partial Rankings via Borda Counting. CoRR (2022)
Ruida Zhou, Tao Liu, Dileep Kalathil, P. R. Kumar, Chao Tian
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning. NeurIPS (2022)
Ruida Zhou, Chao Tian
Approximate Top-m Arm Identification with Heterogeneous Reward Variances. AISTATS (2022)
Ruida Zhou, Chao Tian
Approximate Top-m Arm Identification with Heterogeneous Reward Variances. CoRR (2022)
Ruida Zhou, Chao Tian, Tie Liu
Individually Conditional Individual Mutual Information Bound on Generalization Error. IEEE Trans. Inf. Theory 68 (5) (2022)
Tao Liu, Ruida Zhou, Dileep Kalathil, Panganamala R. Kumar, Chao Tian
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs. NeurIPS (2021)
Tao Guo, Ruida Zhou, Chao Tian
New Results on the Storage-Retrieval Tradeoff in Private Information Retrieval Systems. IEEE J. Sel. Areas Inf. Theory 2 (1) (2021)
Ruida Zhou, Chao Tian, Hua Sun, James S. Plank
Two-Level Private Information Retrieval. ISIT (2021)
Ruida Zhou, Chao Tian, Tie Liu
Individually Conditional Individual Mutual Information Bound on Generalization Error. ISIT (2021)
Tao Liu, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs. CoRR (2021)
Chao Tian, James S. Plank, Brent Hurst, Ruida Zhou
Computational Techniques for Investigating Information Theoretic Limits of Information Systems. Inf. 12 (2) (2021)
Tao Liu, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian
Fast Global Convergence of Policy Optimization for Constrained MDPs. CoRR (2021)
Ruida Zhou, Chao Tian, Hua Sun, James S. Plank
Two-Level Private Information Retrieval. CoRR (2021)
Tao Guo, Ruida Zhou, Chao Tian
New Results on the Storage-Retrieval Tradeoff in Private Information Retrieval Systems. CoRR (2020)
Chao Wang, Jian Yang, Huasen He, Ruida Zhou, Shuangwu Chen, Xiaofeng Jiang
Neighbor Cell List Optimization in Handover Management Using Cascading Bandits Algorithm. IEEE Access 8 (2020)
Chao Gan, Ruida Zhou, Jing Yang, Cong Shen
Cost-Aware Cascading Bandits. IEEE Trans. Signal Process. 68 (2020)
Tao Guo, Ruida Zhou, Chao Tian
On the Information Leakage in Private Information Retrieval Systems. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Tao Guo, Ruida Zhou, Chao Tian
On the Information Leakage in Private Information Retrieval Systems. ISIT (2020)
Ruida Zhou, Chao Tian, Hua Sun, Tie Liu
Capacity-Achieving Private Information Retrieval Codes From MDS-Coded Databases With Minimum Message Size. IEEE Trans. Inf. Theory 66 (8) (2020)
Wenjing Chen, Ruida Zhou, Chao Tian, Cong Shen
On Top-k Selection from m-wise Partial Rankings via Borda Counting. ISIT (2020)
Chao Gan, Ruida Zhou, Jing Yang, Cong Shen
Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. ITA (2020)
Ruida Zhou, Tao Guo, Chao Tian
Weakly Private Information Retrieval Under the Maximal Leakage Metric. ISIT (2020)
Ruida Zhou, Chao Tian, Tie Liu
Individually Conditional Individual Mutual Information Bound on Generalization Error. CoRR (2020)
Chao Gan, Jing Yang, Ruida Zhou, Cong Shen
Online Learning with Diverse User Preferences. CoRR (2019)
Chao Gan, Ruida Zhou, Jing Yang, Cong Shen
Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. IEEE Trans. Cogn. Commun. Netw. 5 (1) (2019)
Chao Gan, Jing Yang, Ruida Zhou, Cong Shen
Online Learning with Diverse User Preferences. ISIT (2019)
Tao Guo, Ruida Zhou, Chao Tian
On the Information Leakage in Private Information Retrieval Systems. CoRR (2019)
Chao Wang, Ruida Zhou, Jing Yang, Cong Shen
A Cascading Bandit Approach To Efficient Mobility Management In Ultra-Dense Networks. MLSP (2019)
Ruida Zhou, Chao Tian, Hua Sun, Tie Liu
Capacity-Achieving Private Information Retrieval Codes from MDS-Coded Databases with Minimum Message Size. CoRR (2019)
Ruida Zhou, Chao Tian, Tie Liu, Hua Sun
Capacity-Achieving Private Information Retrieval Codes from MDS-Coded Databases with Minimum Message Size. ISIT (2019)
Cong Shen, Ruida Zhou, Cem Tekin, Mihaela van der Schaar
Generalized Global Bandit and Its Application in Cellular Coverage Optimization. IEEE J. Sel. Top. Signal Process. 12 (1) (2018)
Zhiyang Wang, Ruida Zhou, Cong Shen
Regional Multi-Armed Bandits. CoRR (2018)
Ruida Zhou, Chao Gan, Jing Yang, Cong Shen
Cost-aware Cascading Bandits. CoRR (2018)
Chao Gan, Ruida Zhou, Jing Yang, Cong Shen
Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. CoRR (2018)
Zhiyang Wang, Ruida Zhou, Cong Shen
Regional Multi-Armed Bandits. AISTATS (2018)
Ruida Zhou, Chao Gan, Jing Yang, Cong Shen
Cost-aware Cascading Bandits. IJCAI (2018)
Zhiyang Wang, Ruida Zhou, Cong Shen
Regional Multi-Armed Bandits With Partial Informativeness. IEEE Trans. Signal Process. 66 (21) (2018)