Alireza Bagheri Garakani

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 7

Top Topics

Speech Recognition

Unconstrained Optimization

Top Venues

Publications

Michinari Momma, Alireza Bagheri Garakani, Nanxun Ma, Yi Sun
Multi-objective Ranking via Constrained Optimization. CoRR (2020)
Michinari Momma, Alireza Bagheri Garakani, Nanxun Ma, Yi Sun
Multi-objective Ranking via Constrained Optimization. WWW (Companion Volume) (2020)
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
Kernel Approximation Methods for Speech Recognition. J. Mach. Learn. Res. 20 (2019)
Michinari Momma, Alireza Bagheri Garakani, Yi Sun
Multi-objective Relevance Ranking. eCOM@SIGIR (2019)
Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel J. Hsu, Brian Kingsbury, Michael Picheny, Fei Sha
Kernel Approximation Methods for Speech Recognition. CoRR (2017)
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. CoRR (2016)
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
A comparison between deep neural nets and kernel acoustic models for speech recognition. ICASSP (2016)
Aurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani, Maria-Florina Balcan, Fei Sha
A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning. SDM (2015)
Aurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani, Maria-Florina Balcan, Fei Sha
Distributed Frank-Wolfe Algorithm: A Unified Framework for Communication-Efficient Sparse Learning. CoRR (2014)
Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. CoRR (2014)