Publications

• Determinant Maximization via Matroid Intersection Algorithms
  with Adam Brown, Madhusudhan Pittu, Mohit Singh, and Prasad Tetali
  

• Socially fair network design via iterative rounding
  with Mohit Singh, Santosh Vempala
  In Operations Research Letters Volume 50, Issue 5, September 2022, Pages 536-540

• A Unified Approach to Discrepancy Minimization
  with Nikhil Bansal and Santosh Vempala
  In RANDOM 2022

• Reducing isotropy and volume to KLS: an o*(n 3 $ψ$ 2) volume algorithm
  with He Jia, Yin Tat Lee, and Santosh Vempala
  In Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2021

• Convergence of Gibbs Sampling: Coordinate Hit-and-Run Mixes Fast
  with Santosh Vempala
  In 37th International Symposium on Computational Geometry, SoCG 2021
  Invited to Discrete & Computational Geometry (DCG) SoCG Special Issue 2021

• Strong Self-Concordance and Sampling
  with Yin Tat Lee and Santosh Vempala
  In Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2020

Pre-prints

• Efficient Determinant Maximization for All Matroids
  with Adam Brown, Madhusudhan Pittu, and Mohit Singh