Praneeth Netrapalli
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
- Computational Mechanics top 2%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Stochastic Gradient Optimization Techniques 17
- Machine Learning and Algorithms 7
- Natural Language Processing Techniques 4
- Neural Networks and Applications 4
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- Sparse and Compressive Sensing Techniques 16
- Co-authors
- Sujay Sanghavi (8 shared papers)Prateek Jain (8 shared papers)Chi Jin (9 shared papers)Michael I. Jordan (5 shared papers)Sham M. Kakade (11 shared papers)Animashree Anandkumar (5 shared papers)Rong Ge (2 shared papers)Alekh Agarwal (3 shared papers)
- Journals
- IEEE Transactions on Information Theory (1 paper)Journal of the ACM (1 paper)ACM SIGMETRICS Performance Evaluation Review (1 paper)Journal of the Indian Institute of Science (1 paper)Neural Information Processing Systems (7 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Praneeth Netrapalli
40 papers receiving 1.1k citations
Praneeth Netrapalli's Hit Papers
Peers
Comparison fields: 5 of 97
- Computational Mathematics 72
- Computational Mechanics 545
- Signal Processing 216
- Acoustics and Ultrasonics 13
- Computer Vision and Pattern Recognition 287
Countries citing papers authored by Praneeth Netrapalli
This map shows the geographic impact of Praneeth Netrapalli'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 Praneeth Netrapalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Praneeth Netrapalli more than expected).
Fields of papers citing papers by Praneeth Netrapalli
This network shows the impact of papers produced by Praneeth Netrapalli. 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 Praneeth Netrapalli. The network helps show where Praneeth Netrapalli may publish in the future.
Co-authors
The 25 scholars most cited alongside Praneeth Netrapalli, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Low-rank matrix completion using alternating minimization Hit paper breakdown → | 2013 | 490 |
| 2 | 2012 | 95 | |
| 3 | 2019 | 74 | |
| 4 | 2014 | 66 | |
| 5 | How to escape saddle points efficiently | 2017 | 62 |
| 6 | 2012 | 49 | |
| 7 | 2021 | 42 | |
| 8 | Learning Sparsely Used Overcomplete Dictionaries | 2014 | 33 |
| 9 | One-Bit Compressed Sensing: Provable Support and Vector Recovery | 2013 | 30 |
| 10 | What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? | 2020 | 27 |
| 11 | 2010 | 25 | |
| 12 | Exact Recovery of Sparsely Used Overcomplete Dictionaries. | 2013 | 20 |
| 13 | Stochastic Gradient Descent Escapes Saddle Points Efficiently. | 2019 | 19 |
| 14 | Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent | 2016 | 17 |
| 15 | 2020 | 15 | |
| 16 | 2016 | 14 | |
| 17 | Minmax Optimization: Stable Limit Points of Gradient Descent Ascent are Locally Optimal. | 2019 | 13 |
| 18 | Provable non-convex robust PCA | 2014 | 13 |
| 19 | Thresholding Based Outlier Robust PCA. | 2017 | 11 |
| 20 | Accelerating Stochastic Gradient Descent | 2017 | 10 |
About Praneeth Netrapalli
Praneeth Netrapalli is a scholar working on Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition, Signal Processing and Computational Theory and Mathematics, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (17 papers), Sparse and Compressive Sensing Techniques (16 papers), Machine Learning and Algorithms (7 papers), Blind Source Separation Techniques (5 papers), Markov Chains and Monte Carlo Methods (4 papers), Natural Language Processing Techniques (4 papers), Neural Networks and Applications (4 papers) and Advanced Optimization Algorithms Research (3 papers). The work is most often cited by research in Computational Mathematics (72 citations), Computational Mechanics (545 citations), Signal Processing (216 citations), Acoustics and Ultrasonics (13 citations) and Computer Vision and Pattern Recognition (287 citations). Praneeth Netrapalli has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Sujay Sanghavi, Prateek Jain, Chi Jin, Michael I. Jordan, Sham M. Kakade, Animashree Anandkumar, Rong Ge, Alekh Agarwal, Prateek Jain and Aditya Nori. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of the ACM, ACM SIGMETRICS Performance Evaluation Review, Journal of the Indian Institute of Science 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.