Aravindan Vijayaraghavan
Title
Cited by
Cited by
Year
Detecting high log-densities: an O(n¼) approximation for densest k-subgraph
A Bhaskara, M Charikar, E Chlamtac, U Feige, A Vijayaraghavan
Proceedings of the forty-second ACM symposium on Theory of computing, 201-210, 2010
3022010
Smoothed analysis of tensor decompositions
A Bhaskara, M Charikar, A Moitra, A Vijayaraghavan
Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014
1162014
Polynomial integrality gaps for strong SDP relaxations of Densest k-subgraph
A Bhaskara, M Charikar, V Guruswami, A Vijayaraghavan, Y Zhou
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012
1122012
Learning mixtures of ranking models
P Awasthi, A Blum, O Sheffet, A Vijayaraghavan
arXiv preprint arXiv:1410.8750, 2014
612014
Approximation algorithms for semi-random partitioning problems
K Makarychev, Y Makarychev, A Vijayaraghavan
Proceedings of the forty-fourth annual ACM symposium on Theory of computing …, 2012
612012
Bilu–Linial stable instances of max cut and minimum multiway cut
K Makarychev, Y Makarychev, A Vijayaraghavan
Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014
552014
Uniqueness of tensor decompositions with applications to polynomial identifiability
A Bhaskara, M Charikar, A Vijayaraghavan
Conference on Learning Theory (COLT) 2014 35, 742–778, 2014
502014
Approximating Matrix p-norms
A Bhaskara, A Vijayaraghavan
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011
412011
On learning mixtures of well-separated gaussians
O Regev, A Vijayaraghavan
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS), 85-96, 2017
402017
Approximation Algorithms and Hardness of the k-Route Cut Problem
J Chuzhoy, Y Makarychev, A Vijayaraghavan, Y Zhou
ACM Transactions on Algorithms (TALG) 12 (1), 1-40, 2015
332015
Beating the random assignment on constraint satisfaction problems of bounded degree
B Barak, A Moitra, R O'Donnell, P Raghavendra, O Regev, D Steurer, ...
arXiv preprint arXiv:1505.03424, 2015
322015
Correlation clustering with noisy partial information
K Makarychev, Y Makarychev, A Vijayaraghavan
Conference on Learning Theory, 1321-1342, 2015
292015
Learning communities in the presence of errors
K Makarychev, Y Makarychev, A Vijayaraghavan
Conference on Learning Theory, 1258-1291, 2016
242016
Constant factor approximation for balanced cut in the PIE model
K Makarychev, Y Makarychev, A Vijayaraghavan
Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014
242014
Approximation algorithms for label cover and the log-density threshold
E Chlamtáč, P Manurangsi, D Moshkovitz, A Vijayaraghavan
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017
182017
Sorting noisy data with partial information
K Makarychev, Y Makarychev, A Vijayaraghavan
Proceedings of the 4th conference on Innovations in Theoretical Computer …, 2013
182013
On robustness to adversarial examples and polynomial optimization
P Awasthi, A Dutta, A Vijayaraghavan
arXiv preprint arXiv:1911.04681, 2019
142019
Clustering stable instances of euclidean k-means
A Vijayaraghavan, A Dutta, A Wang
Proceedings of the Neural Information Processing Systems (NIPS), 2017
132017
Clustering stable instances of euclidean k-means
A Dutta, A Vijayaraghavan, A Wang
arXiv preprint arXiv:1712.01241, 2017
92017
Smoothed analysis in unsupervised learning via decoupling
A Bhaskara, A Chen, A Perreault, A Vijayaraghavan
2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS …, 2019
62019
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Articles 1–20