Chen-Yu Wei
Impact in
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- Advanced Bandit Algorithms Research
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- Reinforcement Learning in Robotics
- Machine Learning and Algorithms
- Data Stream Mining Techniques
Papers in
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- Machine Learning and Algorithms 5
- Stochastic Gradient Optimization Techniques 3
- Reinforcement Learning in Robotics 3
- Data Stream Mining Techniques 2
- Adversarial Robustness in Machine Learning 2
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- Advanced Bandit Algorithms Research 10
- Co-authors
- Haipeng Luo (9 shared papers)Inchi Hu (1 shared paper)Chung‐Wei Lee (4 shared papers)John Langford (1 shared paper)Wanjiun Liao (2 shared papers)Alekh Agarwal (1 shared paper)Rahul Jain (1 shared paper)Kai Zheng (1 shared paper)
- Journals
- IEEE Transactions on Wireless Communications (1 paper)The Annals of Statistics (1 paper)Energy Informatics (1 paper)International Conference on Learning Representations (1 paper)Conference on Learning Theory (2 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Chen-Yu Wei
15 papers receiving 42 citations
Peers
Comparison fields: 5 of 25
- Management Science and Operations Research 21
- Artificial Intelligence 24
- Energy Engineering and Power Technology 2
- Computer Networks and Communications 10
- Industrial and Manufacturing Engineering 3
Countries citing papers authored by Chen-Yu Wei
This map shows the geographic impact of Chen-Yu Wei'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 Chen-Yu Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Yu Wei more than expected).
Fields of papers citing papers by Chen-Yu Wei
This network shows the impact of papers produced by Chen-Yu Wei. 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 Chen-Yu Wei. The network helps show where Chen-Yu Wei may publish in the future.
Co-authors
The 20 scholars most cited alongside Chen-Yu Wei, 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 | Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes | 2020 | 8 |
| 2 | 1989 | 7 | |
| 3 | Efficient Contextual Bandits in Non-stationary Worlds | 2018 | 6 |
| 4 | Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously | 2019 | 4 |
| 5 | 2016 | 4 | |
| 6 | Linear Last-iterate Convergence in Constrained Saddle-point Optimization | 2021 | 3 |
| 7 | Efficient Online Portfolio with Logarithmic Regret | 2018 | 2 |
| 8 | A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal and Parameter-free | 2019 | 2 |
| 9 | 2025 | 2 | |
| 10 | 2017 | 2 | |
| 11 | More Adaptive Algorithms for Adversarial Bandits | 2018 | 2 |
| 12 | Tracking the Best Expert in Non-stationary Stochastic Environments | 2016 | 1 |
| 13 | Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously | 2021 | 1 |
| 14 | 2024 | 1 | |
| 15 | Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information | 2019 | 1 |
About Chen-Yu Wei
Chen-Yu Wei is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Electrical and Electronic Engineering and Pollution, having authored 15 papers that have together received 46 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (10 papers), Machine Learning and Algorithms (5 papers), Stochastic Gradient Optimization Techniques (3 papers), Reinforcement Learning in Robotics (3 papers), Data Stream Mining Techniques (2 papers), Advanced Wireless Network Optimization (2 papers), Cooperative Communication and Network Coding (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Management Science and Operations Research (21 citations), Artificial Intelligence (24 citations), Energy Engineering and Power Technology (2 citations), Computer Networks and Communications (10 citations) and Industrial and Manufacturing Engineering (3 citations). Chen-Yu Wei has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Haipeng Luo, Inchi Hu, Chung‐Wei Lee, John Langford, Wanjiun Liao, Alekh Agarwal, Rahul Jain, Kai Zheng, Yifang Chen and Xiongwei Li. Their work appears in journals such as IEEE Transactions on Wireless Communications, The Annals of Statistics, Energy Informatics, International Conference on Learning Representations and Conference on Learning Theory.
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.