Dávid Pál
Impact in
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- Advanced Bandit Algorithms Research
- Auction Theory and Applications
- Artificial Intelligence top 2%
- Machine Learning and Algorithms
- Reinforcement Learning in Robotics
- Advanced Clustering Algorithms Research
- Data Stream Mining Techniques
Papers in
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- Machine Learning and Algorithms 8
- Bayesian Methods and Mixture Models 4
- Advanced Clustering Algorithms Research 2
- Reinforcement Learning in Robotics 2
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- Advanced Bandit Algorithms Research 13
- Game Theory and Applications 2
- Co-authors
- Csaba Szepesvári (8 shared papers)Shai Ben-David (6 shared papers)Yasin Abbasi-Yadkori (2 shared papers)Tyler Lu (4 shared papers)Martin Pál (2 shared papers)Ulrike von Luxburg (1 shared paper)Hans Ulrich Simon (1 shared paper)Gábor Bartók (4 shared papers)
- Journals
- Theoretical Computer Science (1 paper)Graphs and Combinatorics (1 paper)Mathematics of Operations Research (1 paper)Lecture notes in computer science (4 papers)Electronic Notes in Discrete Mathematics (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Dávid Pál
23 papers receiving 1.1k citations
Dávid Pál's Hit Papers
Peers
Comparison fields: 5 of 84
- Management Science and Operations Research 583
- Artificial Intelligence 718
- Computer Networks and Communications 209
- Marketing 80
- Computer Vision and Pattern Recognition 162
Countries citing papers authored by Dávid Pál
This map shows the geographic impact of Dávid Pál'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 Dávid Pál with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Pál more than expected).
Fields of papers citing papers by Dávid Pál
This network shows the impact of papers produced by Dávid Pál. 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 Dávid Pál. The network helps show where Dávid Pál may publish in the future.
Co-authors
The 25 scholars most cited alongside Dávid Pál, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Improved Algorithms for Linear Stochastic Bandits Hit paper breakdown → | 2011 | 342 |
| 2 | 2006 | 141 | |
| 3 | Impossibility Theorems for Domain Adaptation | 2010 | 98 |
| 4 | Contextual Multi-Armed Bandits | 2010 | 95 |
| 5 | 2007 | 78 | |
| 6 | 2009 | 73 | |
| 7 | 2010 | 60 | |
| 8 | Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning. | 2008 | 57 |
| 9 | 2014 | 45 | |
| 10 | Agnostic Online Learning. | 2009 | 39 |
| 11 | Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits | 2012 | 28 |
| 12 | 2012 | 18 | |
| 13 | Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments | 2011 | 17 |
| 14 | 2010 | 9 | |
| 15 | 2008 | 7 | |
| 16 | 2015 | 6 | |
| 17 | 2007 | 5 | |
| 18 | Hardness of Online Sleeping Combinatorial Optimization Problems | 2016 | 3 |
| 19 | 2020 | 2 | |
| 20 | Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case | 2019 | 1 |
About Dávid Pál
Dávid Pál is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Computational Theory and Mathematics and Signal Processing, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (13 papers), Optimization and Search Problems (10 papers), Machine Learning and Algorithms (8 papers), Bayesian Methods and Mixture Models (4 papers), Advanced Clustering Algorithms Research (2 papers), Game Theory and Applications (2 papers), Advanced Graph Theory Research (2 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Management Science and Operations Research (583 citations), Artificial Intelligence (718 citations), Computer Networks and Communications (209 citations), Marketing (80 citations) and Computer Vision and Pattern Recognition (162 citations). Dávid Pál has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Csaba Szepesvári, Shai Ben-David, Yasin Abbasi-Yadkori, Tyler Lu, Martin Pál, Ulrike von Luxburg, Hans Ulrich Simon, Gábor Bartók, Barnabás Póczos and Gagan Aggarwal. Their work appears in journals such as Theoretical Computer Science, Graphs and Combinatorics, Mathematics of Operations Research, Lecture notes in computer science and Electronic Notes in Discrete Mathematics.
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.