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
- Domain Adaptation and Few-Shot Learning
Papers in
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- Machine Learning and Algorithms 6
- Data Stream Mining Techniques 2
- Machine Learning and Data Classification 2
- Reinforcement Learning in Robotics 2
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- Advanced Bandit Algorithms Research 9
- Co-authors
- Csaba Szepesvári (7 shared papers)Yasin Abbasi-Yadkori (2 shared papers)Tyler Lu (4 shared papers)Shai Ben-David (4 shared papers)Martin Pál (2 shared papers)Barnabás Póczos (2 shared papers)Gagan Aggarwal (1 shared paper)S. Muthukrishnan (1 shared paper)
- Journals
- Theoretical Computer Science (1 paper)Mathematics of Operations Research (1 paper)Graphs and Combinatorics (1 paper)Electronic Notes in Discrete Mathematics (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)
- Partner nations
- CanadaUnited StatesSlovakia
In The Last Decade
Dávid Pál
18 papers receiving 746 citations
Dávid Pál's Hit Papers
Peers
Comparison fields: 5 of 60
- Management Science and Operations Research 499
- Artificial Intelligence 494
- Computer Networks and Communications 173
- Marketing 68
- Computer Vision and Pattern Recognition 92
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 21 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
| # | Work | ||
|---|---|---|---|
| 1 | Improved Algorithms for Linear Stochastic Bandits Hit paper breakdown → | 2011 | 314 |
| 2 | Contextual Multi-Armed Bandits | 2010 | 90 |
| 3 | Impossibility Theorems for Domain Adaptation | 2010 | 87 |
| 4 | 2009 | 58 | |
| 5 | 2010 | 54 | |
| 6 | Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning. | 2008 | 52 |
| 7 | Agnostic Online Learning. | 2009 | 36 |
| 8 | 2014 | 32 | |
| 9 | Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits | 2012 | 26 |
| 10 | Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments | 2011 | 13 |
| 11 | 2012 | 8 | |
| 12 | 2008 | 7 | |
| 13 | 2007 | 5 | |
| 14 | Hardness of Online Sleeping Combinatorial Optimization Problems | 2016 | 3 |
| 15 | 2020 | 2 | |
| 16 | Open Problem: Parameter-Free and Scale-Free Online Algorithms | 2016 | 1 |
| 17 | 2018 | 1 | |
| 18 | 2007 | 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 Electrical and Electronic Engineering, having authored 18 papers that have together received 790 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (9 papers), Optimization and Search Problems (7 papers), Machine Learning and Algorithms (6 papers), Data Stream Mining Techniques (2 papers), graph theory and CDMA systems (2 papers), Machine Learning and Data Classification (2 papers), Reinforcement Learning in Robotics (2 papers) and Advanced Graph Theory Research (2 papers). The work is most often cited by research in Management Science and Operations Research (499 citations), Artificial Intelligence (494 citations), Computer Networks and Communications (173 citations), Marketing (68 citations) and Computer Vision and Pattern Recognition (92 citations). Dávid Pál has collaborated with scholars based in Canada, United States and Slovakia. Frequent co-authors include Csaba Szepesvári, Yasin Abbasi-Yadkori, Tyler Lu, Shai Ben-David, Martin Pál, Barnabás Póczos, Gagan Aggarwal, S. Muthukrishnan, Gábor Bartók and Shai Shalev‐Shwartz. Their work appears in journals such as Theoretical Computer Science, Mathematics of Operations Research, Graphs and Combinatorics, Electronic Notes in Discrete Mathematics and Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
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.