Mitchell Stern
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Stochastic Gradient Optimization Techniques
- Text Readability and Simplification
- Adversarial Robustness in Machine Learning
- Speech and dialogue systems
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- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 6
- Topic Modeling 5
- Stochastic Gradient Optimization Techniques 2
- Speech Recognition and Synthesis 2
- Machine Learning and Data Classification 1
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- Advanced Bandit Algorithms Research 2
- Co-authors
- Dan Klein (5 shared papers)Jacob Andreas (1 shared paper)Daniel Fried (2 shared papers)Dawn Xiaodong Song (1 shared paper)Eric W. Wallace (1 shared paper)Rebecca Roelofs (1 shared paper)Ashia Wilson (1 shared paper)Benjamin Recht (1 shared paper)
- Journals
- Chemical Communications (1 paper)RePEc: Research Papers in Economics (1 paper)arXiv (Cornell University) (1 paper)Neural Information Processing Systems (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Mitchell Stern
14 papers receiving 362 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 330
- Computer Vision and Pattern Recognition 93
- Numerical Analysis 11
- Signal Processing 20
- Computational Mathematics 1
Countries citing papers authored by Mitchell Stern
This map shows the geographic impact of Mitchell Stern'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 Mitchell Stern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Stern more than expected).
Fields of papers citing papers by Mitchell Stern
This network shows the impact of papers produced by Mitchell Stern. 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 Mitchell Stern. The network helps show where Mitchell Stern may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell Stern, 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 | 2017 | 117 | |
| 2 | The Marginal Value of Adaptive Gradient Methods in Machine Learning | 2017 | 78 |
| 3 | 2020 | 51 | |
| 4 | 2018 | 42 | |
| 5 | 2017 | 34 | |
| 6 | 2017 | 24 | |
| 7 | Stochastic Cubic Regularization for Fast Nonconvex Optimization | 2018 | 23 |
| 8 | Kernel feature selection via conditional covariance minimization | 2017 | 7 |
| 9 | 2023 | 6 | |
| 10 | 2020 | 5 | |
| 11 | Stairwell: Increasing Activity Among Nursing Students and Faculty | 2019 | 1 |
| 12 | 2021 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2020 | 1 |
About Mitchell Stern
Mitchell Stern is a scholar working on Artificial Intelligence, Management Science and Operations Research, Software, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 14 papers that have together received 391 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers), Software Testing and Debugging Techniques (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Advanced Bandit Algorithms Research (2 papers), Speech Recognition and Synthesis (2 papers), Machine Learning and Data Classification (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Artificial Intelligence (330 citations), Computer Vision and Pattern Recognition (93 citations), Numerical Analysis (11 citations), Signal Processing (20 citations) and Computational Mathematics (1 citation). Mitchell Stern has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Dan Klein, Jacob Andreas, Daniel Fried, Dawn Xiaodong Song, Eric W. Wallace, Rebecca Roelofs, Ashia Wilson, Benjamin Recht, Nathan Srebro and David Gaddy. Their work appears in journals such as Chemical Communications, RePEc: Research Papers in Economics, arXiv (Cornell University) and Neural Information Processing Systems.
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.