Ruida Zhou

According to our database, Ruida Zhou authored at least 40 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Harnessing the Power of Federated Learning in Federated Contextual Bandits.

Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen

Trans. Mach. Learn. Res., 2024

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

Ruida Zhou, Chao Tian, Tie Liu

IEEE J. Sel. Areas Inf. Theory, 2024

Reframing Data Value for Large Language Models Through the Lens of Plausability.

Mohamad Rida Rammal, Ruida Zhou, Suhas N. Diggavi

CoRR, 2024

Understanding Uncertainty-based Active Learning Under Model Mismatch.

Amir Hossein Rahmati, Mingzhou Fan, Ruida Zhou, Nathan M. Urban, Byung-Jun Yoon, Xiaoning Qian

CoRR, 2024

Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning.

Kaan Ozkara, Bruce Huang, Ruida Zhou, Suhas N. Diggavi

CoRR, 2024

Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with Population-Level Regularization.

Yuning You, Ruida Zhou, Yang Shen

CoRR, 2024

From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization.

Qiang Zhang, Ruida Zhou, Yang Shen, Tie Liu

CoRR, 2024

Personalized Heterogeneous Gaussian Mean Estimation Under Communication Constraints.

Ruida Zhou, Suhas N. Diggavi

Proceedings of the IEEE International Symposium on Information Theory, 2024

Staggered Quantizers for Perfect Perceptual Quality: A Connection Between Quantizers with Common Randomness and Without.

Ruida Zhou, Chao Tian

Proceedings of the IEEE International Symposium on Information Theory, 2024

Weakly Private Information Retrieval from Heterogeneously Trusted Servers.

Yu-Shin Huang, Wenyuan Zhao, Ruida Zhou, Chao Tian

Proceedings of the IEEE International Symposium on Information Theory, 2024

Research on Characteristics of Hesitant Driving Behavior in Urban Expressway Diversion Areas.

Xiang Li, Ruida Zhou, Lanfang Zhang, Jun Zou, Jun Li

Proceedings of the 6th International Conference on Internet of Things, 2024

Path-Guided Particle-based Sampling.

Mingzhou Fan, Ruida Zhou, Chao Tian, Xiaoning Qian

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Latent 3D Graph Diffusion.

Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Provable Policy Gradient Methods for Average-Reward Markov Potential Games.

Min Cheng, Ruida Zhou, P. R. Kumar, Chao Tian

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Stochastic chaining and strengthened information-theoretic generalization bounds.

Ruida Zhou, Chao Tian, Tie Liu

J. Frankl. Inst., 2023

Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation.

Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games.

Youbang Sun, Tao Liu, Ruida Zhou, P. R. Kumar, Shahin Shahrampour

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Linear Bandits with Finite Adversarial Actions.

Li Fan, Ruida Zhou, Chao Tian, Cong Shen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

On Top-k Selection From m-Wise Partial Rankings via Borda Counting.

Wenjing Chen, Ruida Zhou, Chao Tian, Cong Shen

IEEE Trans. Signal Process., 2022

Individually Conditional Individual Mutual Information Bound on Generalization Error.

Ruida Zhou, Chao Tian, Tie Liu

IEEE Trans. Inf. Theory, 2022

Two-Level Private Information Retrieval.

Ruida Zhou, Chao Tian, Hua Sun, James S. Plank

IEEE J. Sel. Areas Inf. Theory, 2022

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

Ruida Zhou, Tao Liu, Dileep Kalathil, P. R. Kumar, Chao Tian

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Tao Liu, P. R. Kumar, Ruida Zhou, Xi Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improved Weakly Private Information Retrieval Codes.

Chengyuan Qian, Ruida Zhou, Chao Tian, Tie Liu

Proceedings of the IEEE International Symposium on Information Theory, 2022

Approximate Top-m Arm Identification with Heterogeneous Reward Variances.

Ruida Zhou, Chao Tian

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

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

Tao Guo, Ruida Zhou, Chao Tian

IEEE J. Sel. Areas Inf. Theory, 2021

Computational Techniques for Investigating Information Theoretic Limits of Information Systems.

Chao Tian, James S. Plank, Brent Hurst, Ruida Zhou

Inf., 2021

Fast Global Convergence of Policy Optimization for Constrained MDPs.

Tao Liu, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian

CoRR, 2021

Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs.

Tao Liu, Ruida Zhou, Dileep Kalathil, Panganamala R. Kumar, Chao Tian

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Cost-Aware Cascading Bandits.

Chao Gan, Ruida Zhou, Jing Yang, Cong Shen

IEEE Trans. Signal Process., 2020

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

Ruida Zhou, Chao Tian, Hua Sun, Tie Liu

IEEE Trans. Inf. Theory, 2020

On the Information Leakage in Private Information Retrieval Systems.

Tao Guo, Ruida Zhou, Chao Tian

IEEE Trans. Inf. Forensics Secur., 2020

Neighbor Cell List Optimization in Handover Management Using Cascading Bandits Algorithm.

Chao Wang, Jian Yang, Huasen He, Ruida Zhou, Shuangwu Chen, Xiaofeng Jiang

IEEE Access, 2020

Weakly Private Information Retrieval Under the Maximal Leakage Metric.

Ruida Zhou, Tao Guo, Chao Tian

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Cost-Aware Learning and Optimization for Opportunistic Spectrum Access.

Chao Gan, Ruida Zhou, Jing Yang, Cong Shen

IEEE Trans. Cogn. Commun. Netw., 2019

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

Chao Wang, Ruida Zhou, Jing Yang, Cong Shen

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Online Learning with Diverse User Preferences.

Chao Gan, Jing Yang, Ruida Zhou, Cong Shen

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Regional Multi-Armed Bandits With Partial Informativeness.

Zhiyang Wang, Ruida Zhou, Cong Shen

IEEE Trans. Signal Process., 2018

Generalized Global Bandit and Its Application in Cellular Coverage Optimization.

Cong Shen, Ruida Zhou, Cem Tekin, Mihaela van der Schaar

IEEE J. Sel. Top. Signal Process., 2018

Regional Multi-Armed Bandits.

Zhiyang Wang, Ruida Zhou, Cong Shen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018