Learning two layer rectified neural networks in polynomial time A Bakshi, R Jayaram, DP Woodruff Conference on Learning Theory, 195-268, 2019 | 80 | 2019 |

File systems fated for senescence? nonsense, says science! A Conway, A Bakshi, Y Jiao, W Jannen, Y Zhan, J Yuan, MA Bender, ... 15th USENIX Conference on File and Storage Technologies (FAST 17), 45-58, 2017 | 80 | 2017 |

Robust linear regression: Optimal rates in polynomial time A Bakshi, A Prasad Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021 | 60 | 2021 |

Robustly learning mixtures of *k* arbitrary GaussiansA Bakshi, I Diakonikolas, H Jia, DM Kane, PK Kothari, SS Vempala Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022 | 56 | 2022 |

List-decodable subspace recovery: Dimension independent error in polynomial time A Bakshi, PK Kothari Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA …, 2021 | 44* | 2021 |

Outlier-robust clustering of non-spherical mixtures A Bakshi, P Kothari arXiv preprint arXiv:2005.02970, 2020 | 38 | 2020 |

Sublinear time low-rank approximation of distance matrices A Bakshi, DP Woodruff arXiv preprint arXiv:1809.06986, 2018 | 35* | 2018 |

Outlier-robust clustering of gaussians and other non-spherical mixtures A Bakshi, I Diakonikolas, SB Hopkins, D Kane, S Karmalkar, PK Kothari 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020 | 30 | 2020 |

Robust and sample optimal algorithms for PSD low rank approximation A Bakshi, N Chepurko, DP Woodruff 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020 | 19 | 2020 |

Low-rank approximation with *1/𝜖*^{1/3} matrix-vector productsA Bakshi, KL Clarkson, DP Woodruff Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022 | 16* | 2022 |

Testing positive semi-definiteness via random submatrices A Bakshi, N Chepurko, R Jayaram 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020 | 16 | 2020 |

A novel feature selection and extraction technique for classification K Goel, R Vohra, A Bakshi 2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014 | 13 | 2014 |

Learning a Latent Simplex in Input-Sparsity Time A Bakshi, C Bhattacharyya, R Kannan, DP Woodruff, S Zhou arXiv preprint arXiv:2105.08005, 2021 | 10 | 2021 |

Chance constraint based multi-objective vendor selection using NSGAII R Aggarwal, A Bakshi Procedia Computer Science 48, 699-705, 2015 | 10 | 2015 |

An improved classical singular value transformation for quantum machine learning A Bakshi, E Tang Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024 | 9 | 2024 |

Learning quantum hamiltonians at any temperature in polynomial time A Bakshi, A Liu, A Moitra, E Tang arXiv preprint arXiv:2310.02243, 2023 | 9 | 2023 |

Weighted maximum independent set of geometric objects in turnstile streams A Bakshi, N Chepurko, DP Woodruff arXiv preprint arXiv:1902.10328, 2019 | 8 | 2019 |

Robust communication-optimal distributed clustering algorithms P Awasthi, A Bakshi, MF Balcan, C White, D Woodruff arXiv preprint arXiv:1703.00830, 2017 | 8 | 2017 |

Non dominated sorting genetic algorithm for chance constrained supplier selection model with volume discounts R Aggarwal, A Bakshi Intelligent Information and Database Systems: 6th Asian Conference, ACIIDS …, 2014 | 8 | 2014 |

A new approach to learning linear dynamical systems A Bakshi, A Liu, A Moitra, M Yau Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 335-348, 2023 | 6 | 2023 |