![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Ruida Zhou
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2024
- [j15]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: 94-104 (2024) - [j14]Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen:
Harnessing the Power of Federated Learning in Federated Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j13]Ruida Zhou
, Chao Tian
, Tie Liu
:
Stochastic chaining and strengthened information-theoretic generalization bounds. J. Frankl. Inst. 360(6): 4114-4134 (2023) - 2022
- [j12]Ruida Zhou
, Chao Tian
, Hua Sun
, James S. Plank
:
Two-Level Private Information Retrieval. IEEE J. Sel. Areas Inf. Theory 3(2): 337-349 (2022) - [j11]Ruida Zhou
, Chao Tian
, Tie Liu
:
Individually Conditional Individual Mutual Information Bound on Generalization Error. IEEE Trans. Inf. Theory 68(5): 3304-3316 (2022) - [j10]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: 2031-2045 (2022) - 2021
- [j9]Chao Tian
, James S. Plank
, Brent Hurst, Ruida Zhou
:
Computational Techniques for Investigating Information Theoretic Limits of Information Systems. Inf. 12(2): 82 (2021) - [j8]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): 403-414 (2021) - 2020
- [j7]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: 134137-134150 (2020) - [j6]Tao Guo
, Ruida Zhou, Chao Tian
:
On the Information Leakage in Private Information Retrieval Systems. IEEE Trans. Inf. Forensics Secur. 15: 2999-3012 (2020) - [j5]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): 4904-4916 (2020) - [j4]Chao Gan
, Ruida Zhou, Jing Yang
, Cong Shen
:
Cost-Aware Cascading Bandits. IEEE Trans. Signal Process. 68: 3692-3706 (2020) - 2019
- [j3]Chao Gan, Ruida Zhou, Jing Yang
, Cong Shen
:
Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. IEEE Trans. Cogn. Commun. Netw. 5(1): 15-27 (2019) - 2018
- [j2]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): 218-232 (2018) - [j1]Zhiyang Wang, Ruida Zhou, Cong Shen
:
Regional Multi-Armed Bandits With Partial Informativeness. IEEE Trans. Signal Process. 66(21): 5705-5717 (2018)
Conference and Workshop Papers
- 2024
- [c25]Min Cheng, Ruida Zhou, P. R. Kumar, Chao Tian:
Provable Policy Gradient Methods for Average-Reward Markov Potential Games. AISTATS 2024: 4699-4707 - [c24]Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen:
Latent 3D Graph Diffusion. ICLR 2024 - [c23]Mingzhou Fan, Ruida Zhou, Chao Tian, Xiaoning Qian:
Path-Guided Particle-based Sampling. ICML 2024 - [c22]Ruida Zhou, Chao Tian:
Staggered Quantizers for Perfect Perceptual Quality: A Connection Between Quantizers with Common Randomness and Without. ISIT (Workshops) 2024: 1-6 - 2023
- [c21]Ruida Zhou, Chao Tian, Tie Liu
:
Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem. ISIT 2023: 903-908 - [c20]Li Fan, Ruida Zhou, Chao Tian, Cong Shen:
Federated Linear Bandits with Finite Adversarial Actions. NeurIPS 2023 - [c19]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 - [c18]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 - 2022
- [c17]Ruida Zhou, Chao Tian:
Approximate Top-m Arm Identification with Heterogeneous Reward Variances. AISTATS 2022: 7483-7504 - [c16]Ruida Zhou, Chao Tian, Tie Liu
:
Stochastic Chaining and Strengthened Information-Theoretic Generalization Bounds. ISIT 2022: 690-695 - [c15]Chengyuan Qian, Ruida Zhou, Chao Tian, Tie Liu
:
Improved Weakly Private Information Retrieval Codes. ISIT 2022: 2827-2832 - [c14]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 - [c13]Ruida Zhou, Tao Liu, Dileep Kalathil, P. R. Kumar, Chao Tian:
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning. NeurIPS 2022 - 2021
- [c12]Ruida Zhou, Chao Tian, Tie Liu
:
Individually Conditional Individual Mutual Information Bound on Generalization Error. ISIT 2021: 670-675 - [c11]Ruida Zhou, Chao Tian, Hua Sun, James S. Plank:
Two-Level Private Information Retrieval. ISIT 2021: 1919-1924 - [c10]Tao Liu, Ruida Zhou, Dileep Kalathil, Panganamala R. Kumar, Chao Tian:
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs. NeurIPS 2021: 17183-17193 - 2020
- [c9]Tao Guo, Ruida Zhou, Chao Tian:
On the Information Leakage in Private Information Retrieval Systems. ISIT 2020: 1018-1023 - [c8]Ruida Zhou, Tao Guo, Chao Tian:
Weakly Private Information Retrieval Under the Maximal Leakage Metric. ISIT 2020: 1089-1094 - [c7]Wenjing Chen, Ruida Zhou, Chao Tian, Cong Shen:
On Top-k Selection from m-wise Partial Rankings via Borda Counting. ISIT 2020: 2759-2764 - [c6]Chao Gan, Ruida Zhou, Jing Yang, Cong Shen:
Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. ITA 2020: 1-12 - 2019
- [c5]Ruida Zhou, Chao Tian, Tie Liu, Hua Sun:
Capacity-Achieving Private Information Retrieval Codes from MDS-Coded Databases with Minimum Message Size. ISIT 2019: 370-374 - [c4]Chao Gan, Jing Yang, Ruida Zhou, Cong Shen:
Online Learning with Diverse User Preferences. ISIT 2019: 2539-2543 - [c3]Chao Wang, Ruida Zhou, Jing Yang, Cong Shen:
A Cascading Bandit Approach To Efficient Mobility Management In Ultra-Dense Networks. MLSP 2019: 1-6 - 2018
- [c2]Zhiyang Wang, Ruida Zhou, Cong Shen:
Regional Multi-Armed Bandits. AISTATS 2018: 510-518 - [c1]Ruida Zhou, Chao Gan, Jing Yang, Cong Shen:
Cost-aware Cascading Bandits. IJCAI 2018: 3228-3234
Informal and Other Publications
- 2024
- [i26]Qiang Zhang, Ruida Zhou, Yang Shen, Tie Liu:
From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization. CoRR abs/2401.02019 (2024) - [i25]Yuning You, Ruida Zhou, Yang Shen:
Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with Population-Level Regularization. CoRR abs/2402.10227 (2024) - [i24]Kaan Ozkara, Bruce Huang, Ruida Zhou, Suhas N. Diggavi:
Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning. CoRR abs/2402.12537 (2024) - [i23]Wenyuan Zhao, Yu-Shin Huang, Ruida Zhou, Chao Tian:
Weakly Private Information Retrieval from Heterogeneously Trusted Servers. CoRR abs/2402.17940 (2024) - [i22]Min Cheng, Ruida Zhou, P. R. Kumar, Chao Tian:
Provable Policy Gradient Methods for Average-Reward Markov Potential Games. CoRR abs/2403.05738 (2024) - [i21]Ruida Zhou, Chao Tian:
Staggered Quantizers for Perfect Perceptual Quality: A Connection between Quantizers with Common Randomness and Without. CoRR abs/2406.19248 (2024) - 2023
- [i20]Ruida Zhou, Chao Tian, Tie Liu:
Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem. CoRR abs/2305.00876 (2023) - [i19]Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar, Chao Tian:
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation. CoRR abs/2307.08875 (2023) - [i18]Youbang Sun, Tao Liu, Ruida Zhou, P. R. Kumar, Shahin Shahrampour:
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games. CoRR abs/2310.09727 (2023) - [i17]Li Fan, Ruida Zhou, Chao Tian, Cong Shen:
Federated Linear Bandits with Finite Adversarial Actions. CoRR abs/2311.00973 (2023) - [i16]Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen:
Harnessing the Power of Federated Learning in Federated Contextual Bandits. CoRR abs/2312.16341 (2023) - 2022
- [i15]Ruida Zhou, Chao Tian, Tie Liu:
Stochastic Chaining and Strengthened Information-Theoretic Generalization Bounds. CoRR abs/2201.12192 (2022) - [i14]Ruida Zhou, Chao Tian:
Approximate Top-m Arm Identification with Heterogeneous Reward Variances. CoRR abs/2204.05245 (2022) - [i13]Wenjing Chen, Ruida Zhou, Chao Tian, Cong Shen:
On Top-k Selection from m-wise Partial Rankings via Borda Counting. CoRR abs/2204.05742 (2022) - [i12]Chengyuan Qian, Ruida Zhou, Chao Tian, Tie Liu:
Improved Weakly Private Information Retrieval Codes. CoRR abs/2205.01611 (2022) - [i11]Ruida Zhou, Tao Liu, Dileep M. Kalathil, P. R. Kumar, Chao Tian:
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning. CoRR abs/2206.05357 (2022) - 2021
- [i10]Ruida Zhou, Chao Tian, Hua Sun, James S. Plank:
Two-Level Private Information Retrieval. CoRR abs/2101.04821 (2021) - [i9]Tao Liu
, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian:
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs. CoRR abs/2106.02684 (2021) - [i8]Tao Liu, Ruida Zhou, Dileep Kalathil, P. R. Kumar, Chao Tian:
Fast Global Convergence of Policy Optimization for Constrained MDPs. CoRR abs/2111.00552 (2021) - 2020
- [i7]Tao Guo, Ruida Zhou, Chao Tian:
New Results on the Storage-Retrieval Tradeoff in Private Information Retrieval Systems. CoRR abs/2008.00960 (2020) - [i6]Ruida Zhou, Chao Tian, Tie Liu:
Individually Conditional Individual Mutual Information Bound on Generalization Error. CoRR abs/2012.09922 (2020) - 2019
- [i5]Ruida Zhou, Chao Tian, Hua Sun, Tie Liu:
Capacity-Achieving Private Information Retrieval Codes from MDS-Coded Databases with Minimum Message Size. CoRR abs/1903.08229 (2019) - [i4]Tao Guo, Ruida Zhou, Chao Tian:
On the Information Leakage in Private Information Retrieval Systems. CoRR abs/1909.11605 (2019) - 2018
- [i3]Zhiyang Wang, Ruida Zhou, Cong Shen:
Regional Multi-Armed Bandits. CoRR abs/1802.07917 (2018) - [i2]Chao Gan, Ruida Zhou, Jing Yang, Cong Shen:
Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. CoRR abs/1804.04048 (2018) - [i1]Ruida Zhou, Chao Gan, Jing Yang, Cong Shen:
Cost-aware Cascading Bandits. CoRR abs/1805.08638 (2018)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-04 01:20 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint