Alireza Bagheri Garakani

According to our database, Alireza Bagheri Garakani authored at least 7 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Multi-objective Ranking via Constrained Optimization.

Michinari Momma, Alireza Bagheri Garakani, Nanxun Ma, Yi Sun

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

2019

Kernel Approximation Methods for Speech Recognition.

Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel Hsu, Brian Kingsbury, Michael Picheny, Fei Sha

J. Mach. Learn. Res., 2019

Multi-objective Relevance Ranking.

Michinari Momma, Alireza Bagheri Garakani, Yi Sun

Proceedings of the SIGIR 2019 Workshop on eCommerce, 2019

2016

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, Brian Kingsbury, Michael Picheny, Fei Sha

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning.

Aurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani, Maria-Florina Balcan, Fei Sha

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

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, Brian Kingsbury, Michael Picheny, Fei Sha

CoRR, 2014

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