Esfandiari, Hossein

24 publications

NeurIPS 2025 Replicable Online Pricing Kiarash Banihashem, Mohammadhossein Bateni, Hossein Esfandiari, Samira Goudarzi, MohammadTaghi Hajiaghayi

ICML 2024 High-Dimensional Geometric Streaming for Nearly Low Rank Data Hossein Esfandiari, Praneeth Kacham, Vahab Mirrokni, David Woodruff, Peilin Zhong

ICLR 2023 Replicable Bandits Hossein Esfandiari, Alkis Kalavasis, Amin Karbasi, Andreas Krause, Vahab Mirrokni, Grigoris Velegkas

NeurIPS 2023 Replicable Clustering Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou

JMLR 2023 Robust Load Balancing with Machine Learned Advice Sara Ahmadian, Hossein Esfandiari, Vahab Mirrokni, Binghui Peng

ICML 2023 Robust and Private Stochastic Linear Bandits Vasileios Charisopoulos, Hossein Esfandiari, Vahab Mirrokni

TMLR 2023 Tackling Provably Hard Representative Selection via Graph Neural Networks Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, Mohammadhossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab Mirrokni

ICMLW 2023 Tackling Provably Hard Representative Selection viaGraph Neural Networks Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, Mohammadhossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab Mirrokni

AISTATS 2022 Label Differential Privacy via Clustering Hossein Esfandiari, Vahab Mirrokni, Umar Syed, Sergei Vassilvitskii

NeurIPS 2022 Anonymous Bandits for Multi-User Systems Hossein Esfandiari, Vahab Mirrokni, Jon Schneider

ICML 2022 Tight and Robust Private Mean Estimation with Few Users Shyam Narayanan, Vahab Mirrokni, Hossein Esfandiari

COLT 2021 Adaptivity in Adaptive Submodularity Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni

AAAI 2021 Almost Linear Time Density Level Set Estimation via DBSCAN Hossein Esfandiari, Vahab S. Mirrokni, Peilin Zhong

AAAI 2021 Extreme K-Center Clustering MohammadHossein Bateni, Hossein Esfandiari, Manuela Fischer, Vahab S. Mirrokni

AAAI 2021 Regret Bounds for Batched Bandits Hossein Esfandiari, Amin Karbasi, Abbas Mehrabian, Vahab S. Mirrokni

NeurIPS 2020 Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming Joey Huchette, Haihao Lu, Hossein Esfandiari, Vahab Mirrokni

AISTATS 2020 Prophets, Secretaries, and Maximizing the Probability of Choosing the Best Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Michael Mitzenmacher

ICML 2019 Categorical Feature Compression via Submodular Optimization Mohammadhossein Bateni, Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab Mirrokni, Afshin Rostamizadeh

NeurIPS 2019 Locality-Sensitive Hashing for F-Divergences: Mutual Information Loss and Beyond Lin Chen, Hossein Esfandiari, Gang Fu, Vahab Mirrokni

AAAI 2019 Online Pandora's Boxes and Bandits Hossein Esfandiari, Mohammad Taghi Hajiaghayi, Brendan Lucier, Michael Mitzenmacher

ICML 2018 Parallel and Streaming Algorithms for K-Core Decomposition Hossein Esfandiari, Silvio Lattanzi, Vahab Mirrokni

AAAI 2017 A Study of Compact Reserve Pricing Languages MohammadHossein Bateni, Hossein Esfandiari, Vahab S. Mirrokni, Saeed Seddighin

AAAI 2017 Market Pricing for Data Streams Melika Abolhassani, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Hadi Yami

NeurIPS 2016 Bi-Objective Online Matching and Submodular Allocations Hossein Esfandiari, Nitish Korula, Vahab Mirrokni