Adith Swaminathan
- Artificial Intelligence top 5%
- Information Systems top 2%
- Management Science and Operations Research top 2%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Thorsten JoachimsTobias SchnabelAshudeep SinghLin MaBailu DingSudipto DasMaarten de RijkeAlekh Agarwal
- Topics
- Advanced Bandit Algorithms Research (11 papers)Machine Learning and Algorithms (7 papers)Optimization and Search Problems (5 papers)
- Journals
- Journal of Machine Learning ResearchAI MagazinearXiv (Cornell University)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Adith Swaminathan
22 papers receiving 716 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 466
- Information Systems 382
- Management Science and Operations Research 334
- Computer Vision and Pattern Recognition 84
- Computer Networks and Communications 81
Countries citing papers authored by Adith Swaminathan
This map shows the geographic impact of Adith Swaminathan'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 Adith Swaminathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adith Swaminathan more than expected).
Fields of papers citing papers by Adith Swaminathan
This network shows the impact of papers produced by Adith Swaminathan. 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 Adith Swaminathan. The network helps show where Adith Swaminathan may publish in the future.
Co-authorship network of co-authors of Adith Swaminathan
This figure shows the co-authorship network connecting the top 25 collaborators of Adith Swaminathan. A scholar is included among the top collaborators of Adith Swaminathan 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 Adith Swaminathan. Adith Swaminathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration | 6 |
| 3 | 42 | |
| 4 | 2 | |
| 5 | Customizing Scripted Bots: Sample Efficient Imitation Learning for Human-like Behavior in Minecraft | 2 |
| 6 | Off-Policy Policy Gradient with State Distribution Correction | 4 |
| 7 | 1 | |
| 8 | 3 | |
| 9 | Deep Learning with Logged Bandit Feedback | 27 |
| 10 | 6 | |
| 11 | 28 | |
| 12 | Unbiased Learning-to-Rank with Biased Feedbackbreakdown → | 252 |
| 13 | 27 | |
| 14 | 66 | |
| 15 | 9 | |
| 16 | The self-normalized estimator for counterfactual learning | 89 |
| 17 | Batch learning from logged bandit feedback through counterfactual risk minimization | 73 |
| 18 | 1 | |
| 19 | 43 | |
| 20 | 36 |
About Adith Swaminathan
Adith Swaminathan is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Science Applications, having authored 22 papers that have together received 756 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (11 papers), Machine Learning and Algorithms (7 papers) and Optimization and Search Problems (5 papers). The work is most often cited by research in Management Science and Operations Research (334 citations), Information Systems (382 citations) and Computer Science Applications (80 citations). Adith Swaminathan has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Thorsten Joachims, Tobias Schnabel, Ashudeep Singh, Lin Ma, Bailu Ding, Sudipto Das, Maarten de Rijke, Alekh Agarwal, Emma Brunskill and Peter I. Frazier. Their work appears in journals such as Journal of Machine Learning Research, AI Magazine and arXiv (Cornell 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.