Mahabadi, Sepideh

11 publications

ICML 2025 Graph-Based Algorithms for Diverse Similarity Search Piyush Anand, Piotr Indyk, Ravishankar Krishnaswamy, Sepideh Mahabadi, Vikas C. Raykar, Kirankumar Shiragur, Haike Xu

NeurIPS 2025 Improved Algorithms for Fair Matroid Submodular Maximization Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski

ICLR 2024 Efficiently Computing Similarities to Private Datasets Arturs Backurs, Zinan Lin, Sepideh Mahabadi, Sandeep Silwal, Jakub Tarnawski

ICML 2023 Approximation Algorithms for Fair Range Clustering Sedjro Salomon Hotegni, Sepideh Mahabadi, Ali Vakilian

NeurIPS 2023 Composable Coresets for Determinant Maximization: Greedy Is Almost Optimal Siddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar

NeurIPS 2023 Core-Sets for Fair and Diverse Data Summarization Sepideh Mahabadi, Stojan Trajanovski

NeurIPS 2023 Differentially Private Approximate near Neighbor Counting in High Dimensions Alexandr Andoni, Piotr Indyk, Sepideh Mahabadi, Shyam Narayanan

NeurIPS 2023 Tight Bounds for Volumetric Spanners and Applications Aditya Bhaskara, Sepideh Mahabadi, Ali Vakilian

ICML 2020 Individual Fairness for K-Clustering Sepideh Mahabadi, Ali Vakilian

ICML 2019 Composable Core-Sets for Determinant Maximization: A Simple Near-Optimal Algorithm Sepideh Mahabadi, Piotr Indyk, Shayan Oveis Gharan, Alireza Rezaei

NeurIPS 2019 Near Neighbor: Who Is the Fairest of Them All? Sariel Har-Peled, Sepideh Mahabadi