On Guillotine Separability of Squares and Rectangles. - Arindam Khan 001; Madhusudhan Reddy Pittu (APPROX-RANDOM, 2020)

A 4-Approximation Algorithm for Maximum Independent Set of Rectangles. - Waldo Gálvez; Arindam Khan 001; Mathieu Mari; Tobias Mömke; Madhusudhan Reddy Pittu; Andreas Wiese (CoRR, 2021)

Determinant Maximization via Matroid Intersection Algorithms. - Adam Brown; Aditi Laddha; Madhusudhan Pittu; Mohit Singh; Prasad Tetali (FOCS, 2022)

A 3-Approximation Algorithm for Maximum Independent Set of Rectangles. - Waldo Gálvez; Arindam Khan 001; Mathieu Mari; Tobias Mömke; Madhusudhan Reddy Pittu; Andreas Wiese (SODA, 2022)

Efficient Determinant Maximization for All Matroids. - Adam Brown; Aditi Laddha; Madhusudhan Pittu; Mohit Singh (CoRR, 2022)

The Price of Explainability for Clustering. - Anupam Gupta 001; Madhusudhan Reddy Pittu; Ola Svensson; Rachel Yuan (FOCS, 2023)

Approximation Algorithms for the Weighted Nash Social Welfare via Convex and Non-Convex Programs. - Adam Brown; Aditi Laddha; Madhusudhan Reddy Pittu; Mohit Singh (SODA, 2024)

Guessing Efficiently for Constrained Subspace Approximation. - Aditya Bhaskara; Sepideh Mahabadi; Madhusudhan Reddy Pittu; Ali Vakilian; David P. Woodruff (ICALP, 2025)

Max-Cut with Multiple Cardinality Constraints. - Yury Makarychev; Madhusudhan Reddy Pittu; Ali Vakilian (CoRR, 2025)