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Aditi Laddha
2020 – today
- 2024
- [j3]Adam Brown, Aditi Laddha, Mohit Singh:
Fast algorithms for maximizing the minimum eigenvalue in fixed dimension. Oper. Res. Lett. 57: 107186 (2024) - [c6]Adam Brown, Aditi Laddha, Madhusudhan Reddy Pittu, Mohit Singh:
Approximation Algorithms for the Weighted Nash Social Welfare via Convex and Non-Convex Programs. SODA 2024: 1307-1327 - [i8]Adam Brown, Aditi Laddha, Madhusudhan Reddy Pittu, Mohit Singh:
Approximation Algorithms for the Weighted Nash Social Welfare via Convex and Non-Convex Programs. CoRR abs/2401.02918 (2024) - [i7]Adam Brown, Aditi Laddha, Mohit Singh:
Maximizing the Minimum Eigenvalue in Constant Dimension. CoRR abs/2401.14317 (2024) - 2023
- [j2]Aditi Laddha, Santosh S. Vempala:
Convergence of Gibbs Sampling: Coordinate Hit-and-Run Mixes Fast. Discret. Comput. Geom. 70(2): 406-425 (2023) - 2022
- [j1]Aditi Laddha
, Mohit Singh, Santosh S. Vempala:
Socially fair network design via iterative rounding. Oper. Res. Lett. 50(5): 536-540 (2022) - [c5]Nikhil Bansal, Aditi Laddha, Santosh S. Vempala:
A Unified Approach to Discrepancy Minimization. APPROX/RANDOM 2022: 1:1-1:22 - [c4]Adam Brown, Aditi Laddha, Madhusudhan Pittu, Mohit Singh, Prasad Tetali:
Determinant Maximization via Matroid Intersection Algorithms. FOCS 2022: 255-266 - [i6]Nikhil Bansal, Aditi Laddha, Santosh S. Vempala:
A Unified Approach to Discrepancy Minimization. CoRR abs/2205.01023 (2022) - [i5]Adam Brown, Aditi Laddha, Madhusudhan Pittu, Mohit Singh, Prasad Tetali:
Determinant Maximization via Matroid Intersection Algorithms. CoRR abs/2207.04318 (2022) - [i4]Adam Brown, Aditi Laddha, Madhusudhan Pittu, Mohit Singh:
Efficient Determinant Maximization for All Matroids. CoRR abs/2211.10507 (2022) - 2021
- [c3]Aditi Laddha, Santosh S. Vempala:
Convergence of Gibbs Sampling: Coordinate Hit-And-Run Mixes Fast. SoCG 2021: 51:1-51:12 - [c2]He Jia, Aditi Laddha, Yin Tat Lee, Santosh S. Vempala:
Reducing isotropy and volume to KLS: an o*(n3ψ2) volume algorithm. STOC 2021: 961-974 - 2020
- [c1]Aditi Laddha, Yin Tat Lee, Santosh S. Vempala:
Strong self-concordance and sampling. STOC 2020: 1212-1222 - [i3]He Jia, Aditi Laddha, Yin Tat Lee, Santosh S. Vempala:
Reducing Isotropy and Volume to KLS: An O(n3ψ2) Volume Algorithm. CoRR abs/2008.02146 (2020) - [i2]Aditi Laddha, Santosh S. Vempala:
Convergence of Gibbs Sampling: Coordinate Hit-and-Run Mixes Fast. CoRR abs/2009.11338 (2020)
2010 – 2019
- 2019
- [i1]Aditi Laddha, Yin Tat Lee, Santosh S. Vempala:
Strong Self-Concordance and Sampling. CoRR abs/1911.05656 (2019)
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last updated on 2024-10-18 19:32 CEST by the dblp team
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