Meisam Hejazinia

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Differential Privacy

Recommender Systems

Weighted Voting

Top Venues

Publications

Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang
Federated Linear Contextual Bandits with User-level Differential Privacy. ICML (2023)
Meisam Hejazinia, Dzmitry Huba, Ilias Leontiadis, Kiwan Maeng, Mani Malek, Luca Melis, Ilya Mironov, Milad Nasr, Kaikai Wang, Carole-Jean Wu
Federated Ensemble Learning: Increasing the Capacity of Label Private Recommendation Systems. IEEE Data Eng. Bull. 46 (1) (2023)
Meisam Hejazinia, Dzmitry Huba, Ilias Leontiadis, Kiwan Maeng, Mani Malek, Luca Melis, Ilya Mironov, Milad Nasr, Kaikai Wang, Carole-Jean Wu
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning. CoRR (2022)
Huanyu Zhang, Ilya Mironov, Meisam Hejazinia
Wide Network Learning with Differential Privacy. CoRR (2021)
Meisam Hejazinia, Majid Hosseini, Bryant Sih
A/B Testing Measurement Framework for Recommendation Models Based on Expected Revenue. CoRR (2019)
Pavlos Mitsoulis-Ntompos, Meisam Hejazinia, Serena Zhang, Travis Brady
A Simple Deep Personalized Recommendation System. RecTour@RecSys (2019)
Pavlos Mitsoulis-Ntompos, Meisam Hejazinia, Serena Zhang, Travis Brady
A Simple Deep Personalized Recommendation System. CoRR (2019)
Meisam Hejazinia, Pavlos Mitsoulis-Ntompos, Serena Zhang
Deep personalized re-targeting. ASONAM (2019)
Meisam Hejazinia, Kyler Eastman, Shuqin Ye, Abbas Amirabadi, Ravi Divvela
Accelerated learning from recommender systems using multi-armed bandit. CoRR (2019)
Meisam Hejazinia, Pavlos Mitsoulis-Ntompos, Serena Zhang
Deep Personalized Re-targeting. CoRR (2019)