Gilles Stoltz
- Management Science and Operations Research top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Economics and Econometrics top 10%
- Co-authors
- Rémi MunosGábor LugosiSébastien BubeckNicolò Cesa‐BianchiTomasz MichalskiCsaba SzepesváriOdalric-Ambrym MaillardYishay Mansour
- Topics
- Advanced Bandit Algorithms Research (19 papers)Reinforcement Learning in Robotics (9 papers)Machine Learning and Algorithms (7 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceComputer Networks and Communications
In The Last Decade
Gilles Stoltz
23 papers receiving 838 citations
Peers
Comparison fields: 5 of 75
- Management Science and Operations Research 585
- Artificial Intelligence 458
- Computer Networks and Communications 203
- Electrical and Electronic Engineering 110
- Economics and Econometrics 88
Countries citing papers authored by Gilles Stoltz
This map shows the geographic impact of Gilles Stoltz'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 Gilles Stoltz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilles Stoltz more than expected).
Fields of papers citing papers by Gilles Stoltz
This network shows the impact of papers produced by Gilles Stoltz. 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 Gilles Stoltz. The network helps show where Gilles Stoltz may publish in the future.
Co-authorship network of co-authors of Gilles Stoltz
This figure shows the co-authorship network connecting the top 25 collaborators of Gilles Stoltz. A scholar is included among the top collaborators of Gilles Stoltz 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 Gilles Stoltz. Gilles Stoltz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 43 | |
| 4 | Explore First, Exploit Next: The True Shape of Regret in Bandit Problems | 29 |
| 5 | KULLBACK-LEIBLER UPPER CONFIDENCE BOUNDS FOR OPTIMAL SEQUENTIAL ALLOCATION | 83 |
| 6 | Set-valued approachability and online learning with partial monitoring | 5 |
| 7 | Mirror descent meets fixed share (and feels no regret | 5 |
| 8 | A New Look at Shifting Regret | 6 |
| 9 | 73 | |
| 10 | X -Armed Bandits | 95 |
| 11 | 23 | |
| 12 | 87 | |
| 13 | 17 | |
| 14 | Forecast of the electricity consumption by aggregation of specialized experts; application to Slovakian and French country-wide hourly predictions | 0 |
| 15 | 52 | |
| 16 | Online Optimization in X-Armed Bandits | 68 |
| 17 | 66 | |
| 18 | 39 | |
| 19 | 46 | |
| 20 | 45 |
About Gilles Stoltz
Gilles Stoltz is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistics and Probability, having authored 25 papers that have together received 883 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (19 papers), Reinforcement Learning in Robotics (9 papers) and Machine Learning and Algorithms (7 papers). The work is most often cited by research in Management Science and Operations Research (585 citations), Artificial Intelligence (458 citations) and Computer Networks and Communications (203 citations). Gilles Stoltz has collaborated with scholars based in France, Spain and Italy. Frequent co-authors include Rémi Munos, Gábor Lugosi, Sébastien Bubeck, Nicolò Cesa‐Bianchi, Tomasz Michalski, Csaba Szepesvári, Odalric-Ambrym Maillard, Yishay Mansour, Vivien Mallet and Pierre Gaillard. Their work appears in journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Information Theory and The Review of Economics and Statistics.
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.