Mahdian, Mohammad

12 publications

ICML 2023 Differentially Private Hierarchical Clustering with Provable Approximation Guarantees Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni

AISTATS 2021 Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar

AISTATS 2021 Maximizing Agreements for Ranking, Clustering and Hierarchical Clustering via MAX-CUT Vaggos Chatziafratis, Mohammad Mahdian, Sara Ahmadian

AISTATS 2020 Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection Vaggos Chatziafratis, Grigory Yaroslavtsev, Euiwoong Lee, Konstantin Makarychev, Sara Ahmadian, Alessandro Epasto, Mohammad Mahdian

AISTATS 2020 Fair Correlation Clustering Sara Ahmadian, Alessandro Epasto, Ravi Kumar, Mohammad Mahdian

NeurIPS 2020 Fair Hierarchical Clustering Sara Ahmadian, Alessandro Epasto, Marina Knittel, Ravi Kumar, Mohammad Mahdian, Benjamin Moseley, Philip Pham, Sergei Vassilvitskii, Yuyan Wang

ALT 2020 Interactive Learning of a Dynamic Structure Ehsan Emamjomeh-Zadeh, David Kempe, Mohammad Mahdian, Robert E. Schapire

NeurIPS 2020 Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions Alessandro Epasto, Mohammad Mahdian, Vahab Mirrokni, Emmanouil Zampetakis

NeurIPS 2020 Smoothly Bounding User Contributions in Differential Privacy Alessandro Epasto, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni, Lijie Ren

NeurIPS 2019 Contextual Bandits with Cross-Learning Santiago Balseiro, Negin Golrezaei, Mohammad Mahdian, Vahab Mirrokni, Jon Schneider

NeurIPS 2016 Community Detection on Evolving Graphs Aris Anagnostopoulos, Jakub Łącki, Silvio Lattanzi, Stefano Leonardi, Mohammad Mahdian

ICML 2016 Pricing a Low-Regret Seller Hoda Heidari, Mohammad Mahdian, Umar Syed, Sergei Vassilvitskii, Sadra Yazdanbod