Alistair Stewart
- Statistics and Probability top 10%
- Statistical Methods and Inference 3
- Advanced Statistical Methods and Models 2
- Artificial Intelligence top 10%
- Machine Learning and Algorithms 13
- Domain Adaptation and Few-Shot Learning 4
- Bayesian Modeling and Causal Inference 3
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- semigroups and automata theory 2
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- Blockchain Technology Applications and Security 4
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- Sparse and Compressive Sensing Techniques 3
- Co-authors
- Ilias DiakonikolasDaniel M. KaneKousha EtessamiMihalis YannakakisJacob SteinhardtClément L. CanonneGautam KamathJerry Li
- Journals
- SIAM Journal on Computing (1 paper)Journal of the ACM (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Alistair Stewart
21 papers receiving 172 citations
Peers
Comparison fields: 5 of 50
- Statistics and Probability 42
- Artificial Intelligence 109
- Computational Mathematics 2
- Computational Theory and Mathematics 29
- Management Science and Operations Research 21
Countries citing papers authored by Alistair Stewart
This map shows the geographic impact of Alistair Stewart'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 Alistair Stewart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alistair Stewart more than expected).
Fields of papers citing papers by Alistair Stewart
This network shows the impact of papers produced by Alistair Stewart. 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 Alistair Stewart. The network helps show where Alistair Stewart may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Alistair Stewart, 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 | 2022 | 5 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 2 | |
| 4 | Validator election in nominated proof-of-stake. | 2020 | 1 |
| 5 | A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families | 2019 | 3 |
| 6 | 2019 | 1 | |
| 7 | 2019 | 1 | |
| 8 | Sever: A Robust Meta-Algorithm for Stochastic Optimization | 2018 | 17 |
| 9 | Robust Learning of Fixed-Structure Bayesian Networks | 2018 | 7 |
| 10 | 2018 | 2 | |
| 11 | 2018 | 10 | |
| 12 | 2017 | 34 | |
| 13 | 2017 | 1 | |
| 14 | Optimal Learning via the Fourier Transform for Sums of Independent Integer Random Variables | 2016 | 3 |
| 15 | Properly Learning Poisson Binomial Distributions in Almost Polynomial Time | 2016 | 4 |
| 16 | Proceedings of the 29th Annual Conference on Learning Theory (COLT 2016) | 2016 | 60 |
| 17 | 2015 | 4 | |
| 18 | 2012 | 16 | |
| 19 | 1984 | 3 | |
| 20 | Improved Computer-Aided Instruction by the Use of Interfaced Random-Access Audio-Visual Equipment. Report on Research Project No. P/24/1. | 1982 | 1 |
About Alistair Stewart
Alistair Stewart is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Theory and Mathematics, having authored 21 papers that have together received 178 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (13 papers), Blockchain Technology Applications and Security (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Bayesian Modeling and Causal Inference (3 papers), Statistical Methods and Inference (3 papers), semigroups and automata theory (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Statistics and Probability (42 citations), Artificial Intelligence (109 citations) and Computational Mathematics (2 citations). Alistair Stewart has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ilias Diakonikolas, Daniel M. Kane, Kousha Etessami, Mihalis Yannakakis, Jacob Steinhardt, Clément L. Canonne, Gautam Kamath, Jerry Li, Yu Cheng and Fatemeh Shirazi. Their work appears in journals such as SIAM Journal on Computing, Journal of the ACM, Communications of the ACM, arXiv (Cornell University) and Edinburgh Research Explorer (University of Edinburgh).
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.