Ashia Wilson
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Computational Mechanics
- Control and Systems Engineering
- Signal Processing
- Co-authors
- Michael I. JordanAndre WibisonoBenjamin RechtNathan SrebroMitchell SternTamara BroderickRebecca RoelofsNicholas Boyd
- Topics
- Stochastic Gradient Optimization Techniques (3 papers)Advanced Optimization Algorithms Research (2 papers)Advanced Control Systems Optimization (1 paper)
- Journals
- Journal of Machine Learning ResearcharXiv (Cornell University)eScholarship (California Digital Library)
- Partner nations
- United StatesJapan
In The Last Decade
Ashia Wilson
5 papers receiving 162 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 106
- Computer Vision and Pattern Recognition 50
- Computational Mechanics 27
- Control and Systems Engineering 22
- Signal Processing 14
Countries citing papers authored by Ashia Wilson
This map shows the geographic impact of Ashia Wilson'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 Ashia Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashia Wilson more than expected).
Fields of papers citing papers by Ashia Wilson
This network shows the impact of papers produced by Ashia Wilson. 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 Ashia Wilson. The network helps show where Ashia Wilson may publish in the future.
Co-authorship network of co-authors of Ashia Wilson
This figure shows the co-authorship network connecting the top 25 collaborators of Ashia Wilson. A scholar is included among the top collaborators of Ashia Wilson 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 Ashia Wilson. Ashia Wilson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | A Lyapunov Analysis of Accelerated Methods in Optimization | 30 |
| 5 | Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions | 0 |
| 6 | Lyapunov Arguments in Optimization | 7 |
| 7 | The Marginal Value of Adaptive Gradient Methods in Machine Learning | 65 |
| 8 | 65 |
About Ashia Wilson
Ashia Wilson is a scholar working on Numerical Analysis, Artificial Intelligence and Safety Research, having authored 8 papers that have together received 173 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (3 papers), Advanced Optimization Algorithms Research (2 papers) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Artificial Intelligence (106 citations), Computer Vision and Pattern Recognition (50 citations) and Health Informatics (3 citations). Ashia Wilson has collaborated with scholars based in United States and Japan. Frequent co-authors include Michael I. Jordan, Andre Wibisono, Benjamin Recht, Nathan Srebro, Mitchell Stern, Tamara Broderick, Rebecca Roelofs, Nicholas Boyd, Ben Recht and Kathleen Creel. Their work appears in journals such as Journal of Machine Learning Research, arXiv (Cornell University) and eScholarship (California Digital Library).
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.