Aditi Laddha

According to our database, Aditi Laddha authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2024

Maximizing the Minimum Eigenvalue in Constant Dimension.

Adam Brown, Aditi Laddha, Mohit Singh

CoRR, 2024

Approximation Algorithms for the Weighted Nash Social Welfare via Convex and Non-Convex Programs.

Adam Brown, Aditi Laddha, Madhusudhan Reddy Pittu, Mohit Singh

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

2023

Convergence of Gibbs Sampling: Coordinate Hit-and-Run Mixes Fast.

Aditi Laddha, Santosh S. Vempala

Discret. Comput. Geom., September, 2023

2022

Socially fair network design via iterative rounding.

Aditi Laddha, Mohit Singh, Santosh S. Vempala

Oper. Res. Lett., 2022

Efficient Determinant Maximization for All Matroids.

Adam Brown, Aditi Laddha, Madhusudhan Pittu, Mohit Singh

CoRR, 2022

Determinant Maximization via Matroid Intersection Algorithms.

Adam Brown, Aditi Laddha, Madhusudhan Pittu, Mohit Singh, Prasad Tetali

Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

A Unified Approach to Discrepancy Minimization.

Nikhil Bansal, Aditi Laddha, Santosh S. Vempala

Proceedings of the Approximation, 2022

2021

Reducing isotropy and volume to KLS: an <i>o</i>*(<i>n</i>³<i>ψ</i>²) volume algorithm.

He Jia, Aditi Laddha, Yin Tat Lee, Santosh S. Vempala

Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

2020

Reducing Isotropy and Volume to KLS: An O(n³ψ²) Volume Algorithm.

He Jia, Aditi Laddha, Yin Tat Lee, Santosh S. Vempala

CoRR, 2020

Strong self-concordance and sampling.

Aditi Laddha, Yin Tat Lee, Santosh S. Vempala

Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020