Distributed Frank-Wolfe Algorithm: A Unified Framework for Communication-Efficient Sparse Learning. - Aurélien Bellet; Yingyu Liang; Alireza Bagheri Garakani; Maria-Florina Balcan; Fei Sha (CoRR, 2014)

How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. - Zhiyun Lu; Avner May; Kuan Liu; Alireza Bagheri Garakani; Dong Guo; Aurélien Bellet; Linxi Fan; Michael Collins 001; Brian Kingsbury; Michael Picheny; Fei Sha (CoRR, 2014)

A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning. - Aurélien Bellet; Yingyu Liang; Alireza Bagheri Garakani; Maria-Florina Balcan; Fei Sha (SDM, 2015)

A comparison between deep neural nets and kernel acoustic models for speech recognition. - Zhiyun Lu; Dong Guo; Alireza Bagheri Garakani; Kuan Liu; Avner May; Aurélien Bellet; Linxi Fan; Michael Collins 001; Brian Kingsbury; Michael Picheny; Fei Sha (ICASSP, 2016)

Multi-objective Relevance Ranking. - Michinari Momma; Alireza Bagheri Garakani; Yi Sun (eCOM@SIGIR, 2019)

Kernel Approximation Methods for Speech Recognition. - Avner May; Alireza Bagheri Garakani; Zhiyun Lu; Dong Guo; Kuan Liu; Aurélien Bellet; Linxi Fan; Michael Collins 001; Daniel Hsu 001; Brian Kingsbury; Michael Picheny; Fei Sha (J. Mach. Learn. Res., 2019)

Multi-objective Ranking via Constrained Optimization. - Michinari Momma; Alireza Bagheri Garakani; Nanxun Ma; Yi Sun (WWW (Companion Volume), 2020)

Learning Attribute as Explicit Relation for Sequential Recommendation. - Gang Liu; Fan Yang; Yang Jiao; Alireza Bagheri Garakani; Tian Tong; Yan Gao; Meng Jiang (KDD (1), 2025)

Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations. - Jiin Woo; Alireza Bagheri Garakani; Tianchen Zhou; Zhishen Huang; Yan Gao (CoRR, 2025)