Sujay Sanghavi
- Computational Mechanics top 0.5%
- Computer Networks and Communications top 1%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Praneeth NetrapalliConstantine CaramanisHuan XuPrateek JainAli JalaliAlan S. WillskyYudong ChenBruce Hajek
- Topics
- Sparse and Compressive Sensing Techniques (28 papers)Blind Source Separation Techniques (13 papers)Machine Learning and Algorithms (12 papers)
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Information TheoryIEEE Transactions on Signal Processing
- Partner nations
- United StatesSingaporeIndia
In The Last Decade
Sujay Sanghavi
86 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Computational Mechanics 1.2k
- Computer Networks and Communications 835
- Artificial Intelligence 824
- Computer Vision and Pattern Recognition 731
- Electrical and Electronic Engineering 555
Countries citing papers authored by Sujay Sanghavi
This map shows the geographic impact of Sujay Sanghavi'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 Sujay Sanghavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujay Sanghavi more than expected).
Fields of papers citing papers by Sujay Sanghavi
This network shows the impact of papers produced by Sujay Sanghavi. 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 Sujay Sanghavi. The network helps show where Sujay Sanghavi may publish in the future.
Co-authorship network of co-authors of Sujay Sanghavi
This figure shows the co-authorship network connecting the top 25 collaborators of Sujay Sanghavi. A scholar is included among the top collaborators of Sujay Sanghavi 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 Sujay Sanghavi. Sujay Sanghavi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Choosing the Sample with Lowest Loss makes SGD Robust | 1 |
| 2 | Extreme Multi-label Classification from Aggregated Labels | 1 |
| 3 | Learning with Bad Training Data via Iterative Trimmed Loss Minimization | 20 |
| 4 | Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models | 5 |
| 5 | Blocking Bandits | 1 |
| 6 | The Search Problem in Mixture Models | 4 |
| 7 | Minimum norm solutions do not always generalize well for over-parameterized problems | 3 |
| 8 | The Sparse Recovery Autoencoder. | 3 |
| 9 | Normalized Spectral Map Synchronization | 24 |
| 10 | The Local Convexity of Solving Quadratic Equations | 5 |
| 11 | The 2014 ACM international conference on Measurement and modeling of computer systems | 5 |
| 12 | Coherent Matrix Completion | 41 |
| 13 | Provable non-convex robust PCA | 12 |
| 14 | Coherent Matrix Completion | 6 |
| 15 | Clustering Sparse Graphs | 33 |
| 16 | Clustering Partially Observed Graphs via Convex Optimization | 42 |
| 17 | On Learning Discrete Graphical Models using Group-Sparse Regularization | 29 |
| 18 | Robust Matrix Completion and Corrupted Columns | 62 |
| 19 | A Dirty Model for Multi-task Learning | 206 |
| 20 | Linear programming analysis of loopy belief propagation for weighted matching | 25 |
About Sujay Sanghavi
Sujay Sanghavi is a scholar working on Computer Networks and Communications, Signal Processing and Computational Mechanics, having authored 89 papers that have together received 3.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (28 papers), Blind Source Separation Techniques (13 papers) and Machine Learning and Algorithms (12 papers). The work is most often cited by research in Computational Mathematics (120 citations), Computational Mechanics (1.2k citations) and Signal Processing (526 citations). Sujay Sanghavi has collaborated with scholars based in United States, Singapore and India. Frequent co-authors include Praneeth Netrapalli, Constantine Caramanis, Huan Xu, Prateek Jain, Ali Jalali, Alan S. Willsky, Yudong Chen, Bruce Hajek, R. Srikant and Dmitry Malioutov. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.
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.