Max Simchowitz
Impact in
- Computational Mathematics top 10%
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
Papers in
-
- Reinforcement Learning in Robotics 3
- Machine Learning and Algorithms 2
-
- Advanced Bandit Algorithms Research 7
- Co-authors
- Benjamin Recht (4 shared papers)Michael I. Jordan (3 shared papers)Jason D. Lee (2 shared papers)Stephen Tu (1 shared paper)Ross Boczar (1 shared paper)Mahdi Soltanolkotabi (1 shared paper)Georgios Piliouras (1 shared paper)Ioannis Panageas (1 shared paper)
- Journals
- Mathematics of Operations Research (1 paper)Operations Research (1 paper)Mathematical Programming (1 paper)Conference on Learning Theory (3 papers)arXiv (Cornell University) (4 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Max Simchowitz
17 papers receiving 303 citations
Peers
Comparison fields: 5 of 58
- Computational Mathematics 11
- Numerical Analysis 52
- Computational Mechanics 148
- Acoustics and Ultrasonics 4
- Artificial Intelligence 140
Countries citing papers authored by Max Simchowitz
This map shows the geographic impact of Max Simchowitz'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 Max Simchowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Simchowitz more than expected).
Fields of papers citing papers by Max Simchowitz
This network shows the impact of papers produced by Max Simchowitz. 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 Max Simchowitz. The network helps show where Max Simchowitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Simchowitz, 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 | Gradient Descent Only Converges to Minimizers | 2016 | 147 |
| 2 | 2019 | 67 | |
| 3 | Low-rank solutions of linear matrix equations via procrustes flow | 2016 | 66 |
| 4 | 2018 | 10 | |
| 5 | 2023 | 9 | |
| 6 | Improper Learning for Non-Stochastic Control | 2020 | 7 |
| 7 | 2024 | 4 | |
| 8 | 2024 | 4 | |
| 9 | The Gradient Complexity of Linear Regression | 2020 | 2 |
| 10 | 2023 | 2 | |
| 11 | 2017 | 2 | |
| 12 | Bayesian decision-making under misspecified priors with applications to meta-learning | 2021 | 1 |
| 13 | Task-Optimal Exploration in Linear Dynamical Systems | 2021 | 1 |
| 14 | 2024 | 1 | |
| 15 | Statistical Complexity and Regret in Linear Control | 2021 | 1 |
| 16 | 2021 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2025 | 0 |
About Max Simchowitz
Max Simchowitz is a scholar working on Artificial Intelligence, Management Science and Operations Research, Control and Systems Engineering, Computer Networks and Communications and Computational Mechanics, having authored 18 papers that have together received 326 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (7 papers), Reinforcement Learning in Robotics (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Optimization and Search Problems (2 papers), Advanced Control Systems Optimization (2 papers), Robot Manipulation and Learning (2 papers), Robotic Mechanisms and Dynamics (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Computational Mathematics (11 citations), Numerical Analysis (52 citations), Computational Mechanics (148 citations), Acoustics and Ultrasonics (4 citations) and Artificial Intelligence (140 citations). Max Simchowitz has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Benjamin Recht, Michael I. Jordan, Jason D. Lee, Stephen Tu, Ross Boczar, Mahdi Soltanolkotabi, Georgios Piliouras, Ioannis Panageas, Russ Tedrake and Moritz Hardt. Their work appears in journals such as Mathematics of Operations Research, Operations Research, Mathematical Programming, Conference on Learning Theory 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.