Cyril Zhang
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- Advanced Bandit Algorithms Research 2
- Game Theory and Applications 1
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- Advanced Optimization Algorithms Research 1
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- Stochastic Gradient Optimization Techniques 2
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- Sparse and Compressive Sensing Techniques 3
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- Markov Chains and Monte Carlo Methods 2
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- Matrix Theory and Algorithms 2
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- Advanced Control Systems Optimization 1
- Co-authors
- Elad HazanKaran SinghYi ZhangSanjeev AroraNaman AgarwalBrian BullinsDanielle BraggXinyi Chen
- Journals
- arXiv (Cornell University) (2 papers)International Conference on Machine Learning (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- United States
In The Last Decade
Cyril Zhang
5 papers receiving 13 citations
Peers
Comparison fields: 5 of 15
- Management Science and Operations Research 6
- Numerical Analysis 2
- Human-Computer Interaction 2
- Artificial Intelligence 10
- Computer Vision and Pattern Recognition 5
Countries citing papers authored by Cyril Zhang
This map shows the geographic impact of Cyril Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cyril Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cyril Zhang more than expected).
Fields of papers citing papers by Cyril Zhang
This network shows the impact of papers produced by Cyril Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cyril Zhang. The network helps show where Cyril Zhang may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Cyril Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | Revisiting the Generalization of Adaptive Gradient Methods | 2019 | 2 |
| 3 | Towards Provable Control for Unknown Linear Dynamical Systems | 2018 | 4 |
| 4 | The Case for Full-Matrix Adaptive Regularization | 2018 | 0 |
| 5 | 2018 | 2 | |
| 6 | Efficient Regret Minimization in Non-Convex Games | 2017 | 6 |
About Cyril Zhang
Cyril Zhang is a scholar working on Statistics and Probability, Numerical Analysis and Management Science and Operations Research, having authored 6 papers that have together received 16 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (3 papers), Markov Chains and Monte Carlo Methods (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Matrix Theory and Algorithms (2 papers), Advanced Bandit Algorithms Research (2 papers), Advanced Control Systems Optimization (1 paper), Game Theory and Applications (1 paper) and Advanced Optimization Algorithms Research (1 paper). The work is most often cited by research in Management Science and Operations Research (6 citations), Numerical Analysis (2 citations) and Human-Computer Interaction (2 citations). Cyril Zhang has collaborated with scholars based in United States. Frequent co-authors include Elad Hazan, Karan Singh, Karan Singh, Yi Zhang, Sanjeev Arora, Naman Agarwal, Brian Bullins, Danielle Bragg, Yi Zhang and Xinyi Chen. Their work appears in journals such as arXiv (Cornell University), International Conference on Machine Learning and International Conference on Learning Representations.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.