Provable bounds for learning some deep representations S Arora, A Bhaskara, R Ge, T Ma International conference on machine learning, 584-592, 2014 | 439 | 2014 |

Detecting high log-densities: an *O*(*n*^{¼}) approximation for densest *k*-subgraphA Bhaskara, M Charikar, E Chlamtac, U Feige, A Vijayaraghavan Proceedings of the forty-second ACM symposium on Theory of computing, 201-210, 2010 | 397 | 2010 |

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 | 167 | 2014 |

Polynomial integrality gaps for strong SDP relaxations of Densest *k*-subgraphA Bhaskara, M Charikar, V Guruswami, A Vijayaraghavan, Y Zhou Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012 | 140 | 2012 |

Fair clustering via equitable group representations M Abbasi, A Bhaskara, S Venkatasubramanian Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 92 | 2021 |

Centrality of trees for capacitated -center HC An, A Bhaskara, C Chekuri, S Gupta, V Madan, O Svensson Mathematical Programming 154 (1), 29-53, 2015 | 92 | 2015 |

Distributed balanced clustering via mapping coresets MH Bateni, A Bhaskara, S Lattanzi, V Mirrokni Advances in Neural Information Processing Systems 27, 2014 | 89 | 2014 |

Greedy column subset selection: New bounds and distributed algorithms J Altschuler, A Bhaskara, G Fu, V Mirrokni, A Rostamizadeh, ... International conference on machine learning, 2539-2548, 2016 | 73 | 2016 |

Uniqueness of tensor decompositions with applications to polynomial identifiability A Bhaskara, M Charikar, A Vijayaraghavan Conference on Learning Theory, 742-778, 2014 | 72 | 2014 |

More algorithms for provable dictionary learning S Arora, A Bhaskara, R Ge, T Ma arXiv preprint arXiv:1401.0579, 2014 | 62 | 2014 |

Approximating Matrix *p*-normsA Bhaskara, A Vijayaraghavan Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011 | 55 | 2011 |

Unconditional differentially private mechanisms for linear queries A Bhaskara, D Dadush, R Krishnaswamy, K Talwar Proceedings of the forty-fourth annual ACM symposium on Theory of computing …, 2012 | 54 | 2012 |

Online learning with imperfect hints A Bhaskara, A Cutkosky, R Kumar, M Purohit International Conference on Machine Learning, 822-831, 2020 | 51 | 2020 |

Optimizing display advertising in online social networks Z Abbassi, A Bhaskara, V Misra Proceedings of the 24th International Conference on World Wide Web, 1-11, 2015 | 34 | 2015 |

On binary embedding using circulant matrices XY Felix, A Bhaskara, S Kumar, Y Gong, SF Chang Journal of Machine Learning Research 18 (150), 1-30, 2018 | 32 | 2018 |

Linear relaxations for finding diverse elements in metric spaces A Bhaskara, M Ghadiri, V Mirrokni, O Svensson Advances in neural information processing systems 29, 2016 | 27 | 2016 |

Greedy sampling for approximate clustering in the presence of outliers A Bhaskara, S Vadgama, H Xu Advances in Neural Information Processing Systems 32, 2019 | 26 | 2019 |

Distributed clustering via lsh based data partitioning A Bhaskara, M Wijewardena International Conference on Machine Learning, 570-579, 2018 | 23 | 2018 |

Going beyond classification accuracy metrics in model compression V Joseph, SA Siddiqui, A Bhaskara, G Gopalakrishnan, S Muralidharan, ... arXiv preprint arXiv:2012.01604, 2020 | 18* | 2020 |

Minimum makespan scheduling with low rank processing times A Bhaskara, R Krishnaswamy, K Talwar, U Wieder Proceedings of the twenty-fourth annual ACM-SIAM symposium on Discrete …, 2013 | 18 | 2013 |