John C. Duchi
Impact in
- Artificial Intelligence top 0.1%
- Stochastic Gradient Optimization Techniques
- Topic Modeling
- Privacy-Preserving Technologies in Data
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
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- Advanced Neural Network Applications
Papers in
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- Stochastic Gradient Optimization Techniques 37
- Machine Learning and Algorithms 14
- Privacy-Preserving Technologies in Data 13
- Domain Adaptation and Few-Shot Learning 6
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- Sparse and Compressive Sensing Techniques 25
- Co-authors
- Yoram Singer (6 shared papers)Elad Hazan (1 shared paper)Martin J. Wainwright (16 shared papers)Michael I. Jordan (16 shared papers)Shai Shalev‐Shwartz (2 shared papers)Tushar Chandra (1 shared paper)Alekh Agarwal (9 shared papers)Hongseok Namkoong (8 shared papers)
- Journals
- SIAM Journal on Optimization (5 papers)The Annals of Statistics (4 papers)Journal of Machine Learning Research (3 papers)IEEE Transactions on Information Theory (3 papers)Mathematical Programming (1 paper)
- Partner nations
- United StatesIsraelSweden
In The Last Decade
John C. Duchi
78 papers receiving 9.1k citations
John C. Duchi's Hit Papers
Peers
Comparison fields: 5 of 181
- Artificial Intelligence 6.1k
- Computer Vision and Pattern Recognition 2.3k
- Computational Mathematics 63
- Computational Mechanics 1.6k
- Management Science and Operations Research 895
Countries citing papers authored by John C. Duchi
This map shows the geographic impact of John C. Duchi'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 John C. Duchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Duchi more than expected).
Fields of papers citing papers by John C. Duchi
This network shows the impact of papers produced by John C. Duchi. 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 John C. Duchi. The network helps show where John C. Duchi may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. Duchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adaptive Subgradient Methods for Online Learning and Stochastic Optimization Hit paper breakdown → | 2010 | 5390 |
| 2 | Efficient projections onto thel1-ball for learning in high dimensions Hit paper breakdown → | 2008 | 756 |
| 3 | Local Privacy and Statistical Minimax Rates Hit paper breakdown → | 2013 | 536 |
| 4 | Efficient Online and Batch Learning Using Forward Backward Splitting | 2009 | 315 |
| 5 | MLbase: A Distributed Machine-learning System | 2013 | 209 |
| 6 | 2015 | 208 | |
| 7 | 2012 | 185 | |
| 8 | 2013 | 172 | |
| 9 | 2013 | 125 | |
| 10 | Composite objective mirror descent | 2010 | 124 |
| 11 | 2014 | 107 | |
| 12 | 2018 | 91 | |
| 13 | Information-theoretic lower bounds for distributed statistical estimation with communication constraints | 2013 | 77 |
| 14 | 2011 | 72 | |
| 15 | Divide and Conquer Kernel Ridge Regression | 2013 | 70 |
| 16 | Randomized smoothing for stochastic optimization | 2016 | 69 |
| 17 | Generalizing to Unseen Domains via Adversarial Data Augmentation | 2018 | 66 |
| 18 | Efficient Learning using Forward-Backward Splitting | 2009 | 63 |
| 19 | 2012 | 62 | |
| 20 | 2018 | 58 |
About John C. Duchi
John C. Duchi is a scholar working on Artificial Intelligence, Computational Mechanics, Management Science and Operations Research, Statistics and Probability and Computer Networks and Communications, having authored 81 papers that have together received 9.7k indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (37 papers), Sparse and Compressive Sensing Techniques (25 papers), Advanced Bandit Algorithms Research (15 papers), Machine Learning and Algorithms (14 papers), Statistical Methods and Inference (13 papers), Privacy-Preserving Technologies in Data (13 papers), Advanced Optimization Algorithms Research (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Artificial Intelligence (6.1k citations), Computer Vision and Pattern Recognition (2.3k citations), Computational Mathematics (63 citations), Computational Mechanics (1.6k citations) and Management Science and Operations Research (895 citations). John C. Duchi has collaborated with scholars based in United States, Israel and Sweden. Frequent co-authors include Yoram Singer, Elad Hazan, Martin J. Wainwright, Michael I. Jordan, Shai Shalev‐Shwartz, Tushar Chandra, Alekh Agarwal, Hongseok Namkoong, Yuchen Zhang and Feng Ruan. Their work appears in journals such as SIAM Journal on Optimization, The Annals of Statistics, Journal of Machine Learning Research, IEEE Transactions on Information Theory and Mathematical Programming.
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.