On Minimizing Generalized Makespan on Unrelated Machines. - Nikhil Ayyadevara; Nikhil Bansal 001; Milind Prabhu (APPROX/RANDOM, 2023)

Generalizing Greenwald-Khanna Streaming Quantile Summaries for Weighted Inputs. - Sepehr Assadi; Nirmit Joshi; Milind Prabhu; Vihan Shah (ICDT, 2023)

Sensitivity Sampling for k-Means: Worst Case and Stability Optimal Coreset Bounds. - Nikhil Bansal 001; Vincent Cohen-Addad; Milind Prabhu; David Saulpic; Chris Schwiegelshohn (FOCS, 2024)

Learning Multiple Secrets in Mastermind. - Milind Prabhu; David P. Woodruff (ICML, 2024)