Grants per year
Personal profile
Research Interests
His research interests are broadly in the field of Theoretical Computer Science, particularly, in designing efficient algorithms for problems in Combinatorial Optimization and Machine Learning. He is also interested in using paradigms that go Beyond Worst-Case Analysis to obtain good algorithmic guarantees.
Education/Academic qualification
Computer Science, PhD, Princeton University
… → 2012
Computer Science, MA, Princeton University
… → 2009
Computer Science and Engineering, BTech, Indian Institute of Technology, Madras
… → 2007
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Grants
- 4 Active
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HDR TRIPODS: Collaborative Research: Institute for Data, Econometrics, Algorithms and Learning .
Hartline, J. D., Berry, R. A., Canay, I. A., Vijayaraghavan, A., Wang, Z., Auerbach, E. J., Guo, D., Horowitz, J. L., Khuller, S. & Makarychev, K.
9/15/19 → 8/31/22
Project: Research project
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PSC for CAREER: Beyond Worst-Case Analysis: New Approaches in Approximation Algorithms and Machine Learning
3/15/17 → 2/28/22
Project: Research project
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CAREER: Beyond Worst-Case Analysis: New Approaches in Approximation Algorithms and Machine Learning
3/15/17 → 2/28/22
Project: Research project
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AitF: Collaborative Research: Algorithms for Probabilistic Inference in the Real World
9/1/16 → 8/31/22
Project: Research project
Research Output
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Adversarial robustness via robust low rank representations
Awasthi, P., Jain, H., Rawat, A. S. & Vijayaraghavan, A., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review
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Block stability for map inference
Lang, H., Sontag, D. & Vijayaraghavan, A., 2020.Research output: Contribution to conference › Paper › peer-review
1 Scopus citations -
Scheduling precedence-constrained jobs on related machines with communication delay
Maiti, B., Rajaraman, R., Stalfa, D., Svitkina, Z. & Vijayaraghavan, A., Nov 2020, Proceedings - 2020 IEEE 61st Annual Symposium on Foundations of Computer Science, FOCS 2020. IEEE Computer Society, p. 834-845 12 p. 9317889. (Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS; vol. 2020-November).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Scopus citations -
Smoothed analysis for tensor methods in unsupervised learning
Bhaskara, A., Chen, A., Perreault, A. & Vijayaraghavan, A., 2020, (Accepted/In press) In: Mathematical Programming.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
On robustness to adversarial examples and polynomial optimization
Awasthi, P., Dutta, A. & Vijayaraghavan, A., 2019, In: Advances in Neural Information Processing Systems. 32Research output: Contribution to journal › Conference article › peer-review
6 Scopus citations