Meisam Hejazinia

11 papers A* 1B 1Journal 8Unranked 1

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