SODA · 2027
Coresets for Capacitated Clustering via Dual Concentration
With Milind Prabhu, Chris Schwiegelshohn, and Erik Waingarten
Research in print
Selected publications
NeurIPS · 2026
Fault Tolerant Coresets
With Milind Prabhu and Chris Schwiegelshohn
ICML · 2026
Approximation Preserving Coresets
With Milind Prabhu and Chris Schwiegelshohn
NeurIPS · 2025
Simple and Optimal Sublinear Algorithms for Mean Estimation
With Beatrice Bertolotti, Matteo Russo, and Chris Schwiegelshohn
EC · 2023
Guaranteeing Envy-Freeness under Generalized Assignment Constraints
With Siddharth Barman, Arindam Khan, and K. V. N. Sreenivas
More publications
AAMAS · 2026
Existence and computation of fair allocations under constraints
With Siddharth Barman and Ioannis Caragiannis
SAGT · 2025
A new lower bound for multi-color discrepancy with applications to fair division
With Ioannis Caragiannis and Kasper Green Larsen
AAAI · 2024
Low-Distortion Clustering with Ordinal and Limited Cardinal Information
With Jakob Burkhardt, Ioannis Caragiannis, Karl Fehrs, Matteo Russo, and Chris Schwiegelshohn
AAAI · 2023
Finding fair allocations under budget constraints
With Siddharth Barman, Arindam Khan, and K. V. N. Sreenivas
Under submission
Under submission
Compress, Solve, and Lift: Coresets for Fair Division
With Milind Prabhu