Vakilian, Ali

21 publications

NeurIPS 2024 Bayesian Strategic Classification Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stang1, Ali Vakilian, Juba Ziani

AISTATS 2024 Learning-Based Algorithms for Graph Searching Problems Adela F. DePavia, Erasmo Tani, Ali Vakilian

NeurIPS 2024 On Socially Fair Low-Rank Approximation and Column Subset Selection Zhao Song, Ali Vakilian, David P. Woodruff, Samson Zhou

AISTATS 2024 Scalable Algorithms for Individual Preference Stable Clustering Ron Mosenzon, Ali Vakilian

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

NeurIPS 2023 Constant Approximation for Individual Preference Stable Clustering Anders Aamand, Justin Chen, Allen Liu, Sandeep Silwal, Pattara Sukprasert, Ali Vakilian, Fred Zhang

NeurIPS 2023 Improved Frequency Estimation Algorithms with and Without Predictions Anders Aamand, Justin Chen, Huy Nguyen, Sandeep Silwal, Ali Vakilian

ICLR 2023 Learning the Positions in CountSketch Yi Li, Honghao Lin, Simin Liu, Ali Vakilian, David Woodruff

ICML 2023 Sequential Strategic Screening Lee Cohen, Saeed Sharifi -Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani

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

AISTATS 2022 Improved Approximation Algorithms for Individually Fair Clustering Ali Vakilian, Mustafa Yalciner

ICML 2022 Faster Fundamental Graph Algorithms via Learned Predictions Justin Chen, Sandeep Silwal, Ali Vakilian, Fred Zhang

ICML 2022 Individual Preference Stability for Clustering Saba Ahmadi, Pranjal Awasthi, Samir Khuller, Matthäus Kleindessner, Jamie Morgenstern, Pattara Sukprasert, Ali Vakilian

COLT 2021 Approximation Algorithms for Socially Fair Clustering Yury Makarychev, Ali Vakilian

ICML 2021 Learning Online Algorithms with Distributional Advice Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Ali Vakilian, Nikos Zarifis

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

ICLR 2019 Learning-Based Frequency Estimation Algorithms Chen-Yu Hsu, Piotr Indyk, Dina Katabi, Ali Vakilian

NeurIPS 2019 Learning-Based Low-Rank Approximations Piotr Indyk, Ali Vakilian, Yang Yuan

NeurIPSW 2019 Learning-Based Low-Rank Approximations Piotr Indyk, Ali Vakilian, Yang Yuan

COLT 2019 Sample-Optimal Low-Rank Approximation of Distance Matrices Pitor Indyk, Ali Vakilian, Tal Wagner, David P Woodruff

ICML 2019 Scalable Fair Clustering Arturs Backurs, Piotr Indyk, Krzysztof Onak, Baruch Schieber, Ali Vakilian, Tal Wagner