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Aravindan Vijayaraghavan
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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
4002010
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
1702014
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
1422012
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
942017
Learning mixtures of ranking models
P Awasthi, A Blum, O Sheffet, A Vijayaraghavan
Advances in Neural Information Processing Systems 27, 2014
892014
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
812015
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
752014
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
752012
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
692014
Approximating Matrix p-norms
A Bhaskara, A Vijayaraghavan
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011
592011
Correlation clustering with noisy partial information
K Makarychev, Y Makarychev, A Vijayaraghavan
Conference on Learning Theory, 1321-1342, 2015
472015
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
422015
Learning communities in the presence of errors
K Makarychev, Y Makarychev, A Vijayaraghavan
Conference on learning theory, 1258-1291, 2016
412016
On robustness to adversarial examples and polynomial optimization
P Awasthi, A Dutta, A Vijayaraghavan
Advances in Neural Information Processing Systems 32, 2019
382019
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
332014
Clustering Stable Instances of Euclidean k-means.
A Vijayaraghavan, A Dutta, A Wang
Advances in Neural Information Processing Systems 30, 2017
32*2017
Sorting noisy data with partial information
K Makarychev, Y Makarychev, A Vijayaraghavan
Proceedings of the 4th conference on Innovations in Theoretical Computer …, 2013
232013
Adversarial robustness via robust low rank representations
P Awasthi, H Jain, AS Rawat, A Vijayaraghavan
Advances in Neural Information Processing Systems 33, 11391-11403, 2020
212020
Smoothed analysis for tensor methods in unsupervised learning
A Bhaskara, A Chen, A Perreault, A Vijayaraghavan
Mathematical Programming, 1-51, 2022
20*2022
Efficient algorithms for learning depth-2 neural networks with general relu activations
P Awasthi, A Tang, A Vijayaraghavan
Advances in Neural Information Processing Systems 34, 13485-13496, 2021
202021
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Articles 1–20