Strong self-concordance and sampling A Laddha, YT Lee, S Vempala Proceedings of the 52nd annual ACM SIGACT symposium on theory of computing …, 2020 | 38 | 2020 |
Reducing isotropy and volume to KLS: an o*(n3ψ2) volume algorithm H Jia, A Laddha, YT Lee, S Vempala Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021 | 35 | 2021 |
Convergence of Gibbs sampling: Coordinate Hit-and-Run mixes fast A Laddha, SS Vempala Discrete & Computational Geometry 70 (2), 406-425, 2023 | 22 | 2023 |
A unified approach to discrepancy minimization N Bansal, A Laddha, SS Vempala arXiv preprint arXiv:2205.01023, 2022 | 6 | 2022 |
Approximation algorithms for the weighted Nash Social Welfare via convex and non-convex programs A Brown, A Laddha, MR Pittu, M Singh Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024 | 3 | 2024 |
Determinant maximization via matroid intersection algorithms A Brown, A Laddha, M Pittu, M Singh, P Tetali 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS …, 2022 | 3 | 2022 |
Socially fair network design via iterative rounding A Laddha, M Singh, SS Vempala Operations Research Letters 50 (5), 536-540, 2022 | 2 | 2022 |
Maximizing the Minimum Eigenvalue in Constant Dimension A Brown, A Laddha, M Singh arXiv preprint arXiv:2401.14317, 2024 | 1 | 2024 |
Efficient Determinant Maximization for All Matroids A Brown, A Laddha, M Pittu, M Singh arXiv preprint arXiv:2211.10507, 2022 | 1 | 2022 |