Yevgeny Seldin
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Naftali TishbyPeter AuerAleksandrs SlivkinsJohn Shawe‐TaylorYasin Abbasi-YadkoriPeter L. BartlettNicolò Cesa‐BianchiIlya Tolstikhin
- Topics
- Advanced Bandit Algorithms Research (17 papers)Machine Learning and Algorithms (15 papers)Reinforcement Learning in Robotics (7 papers)
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Yevgeny Seldin
27 papers receiving 255 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 215
- Management Science and Operations Research 126
- Computer Networks and Communications 41
- Electrical and Electronic Engineering 30
- Computer Vision and Pattern Recognition 25
Countries citing papers authored by Yevgeny Seldin
This map shows the geographic impact of Yevgeny Seldin'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 Yevgeny Seldin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yevgeny Seldin more than expected).
Fields of papers citing papers by Yevgeny Seldin
This network shows the impact of papers produced by Yevgeny Seldin. 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 Yevgeny Seldin. The network helps show where Yevgeny Seldin may publish in the future.
Co-authorship network of co-authors of Yevgeny Seldin
This figure shows the co-authorship network connecting the top 25 collaborators of Yevgeny Seldin. A scholar is included among the top collaborators of Yevgeny Seldin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yevgeny Seldin. Yevgeny Seldin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays | 1 |
| 2 | An Optimal Algorithm for Stochastic and Adversarial Bandits | 7 |
| 3 | Factored Bandits | 1 |
| 4 | An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits | 8 |
| 5 | One Practical Algorithm for Both Stochastic and Adversarial Bandits | 27 |
| 6 | Prediction with Limited Advice and Multiarmed Bandits with Paid Observations | 19 |
| 7 | PAC-Bayes-empirical-Bernstein inequality | 15 |
| 8 | Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments | 17 |
| 9 | Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions | 19 |
| 10 | Open Problem: Adversarial Multiarmed Bandits with Limited Advice | 1 |
| 11 | 1 | |
| 12 | 9 | |
| 13 | PAC-Bayesian Analysis of Contextual Bandits | 19 |
| 14 | A PAC-Bayesian Analysis of Co-clustering, Graph Clustering, and Pairwise Clustering | 1 |
| 15 | PAC-Bayesian Analysis of Co-clustering and Beyond | 36 |
| 16 | PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering | 8 |
| 17 | Unsupervised Segmentation and Classification of Mixtures of Markovian Sources | 1 |
| 18 | Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources | 9 |
| 19 | Extraction of Protein Domains and Signatures through Unsupervised Statistical Sequence Segmentation | 0 |
| 20 | 8 |
About Yevgeny Seldin
Yevgeny Seldin is a scholar working on Computational Mathematics, Management Science and Operations Research and Artificial Intelligence, having authored 30 papers that have together received 266 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (17 papers), Machine Learning and Algorithms (15 papers) and Reinforcement Learning in Robotics (7 papers). The work is most often cited by research in Management Science and Operations Research (126 citations), Artificial Intelligence (215 citations) and Computational Mathematics (3 citations). Yevgeny Seldin has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Naftali Tishby, Peter Auer, Aleksandrs Slivkins, John Shawe‐Taylor, Yasin Abbasi-Yadkori, Peter L. Bartlett, Nicolò Cesa‐Bianchi, Ilya Tolstikhin, Csaba Szepesvári and François Laviolette. Their work appears in journals such as Bioinformatics, IEEE Transactions on Information Theory and Journal of Machine Learning Research.
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.