Alireza Bagheri Garakani

I’m an applied scientist at Amazon working in ML/Search. Prior to Amazon, I was a research assistant at the University of Southern California, advised by Fei Sha. I also spent one year at the University of Washington as a research assistant, hosted by Carlos Guestrin. Before that, I spent a few years at Cisco Systems as a software engineer. I received my BS and MS in Computer Science from UW and USC, respectively. [linkedin]

  • Improving Relevance Quality in Product Search using High-Precision Query-Product Semantic Similarity. Alireza Bagheri Garakani, Fan Yang, Wen-Yu Hua, Yetian Chen, Michinari Momma, Jingyuan Deng, Yan Gao, Yi Sun. ECNLP 2022. [Paper]
  • Spelling Correction using Phonetics in E-commerce Search. Fan Yang, Alireza Bagheri Garakani, Yifei Teng, Yan Gao, Jia Liu, Jingyuan Deng, Yi Sun. ECNLP 2022. [Paper]
  • Multi-objective ranking via constrained optimization. Michinari Momma, Alireza Bagheri Garakani, Nanxun Ma, Yi Sun. WWW 2020. [Paper]
  • Multi-objective Relevance Ranking. Michinari Momma, Alireza Bagheri Garakani, Yi Sun. ACM SIGIR eCommerce Workshop 2019. [Paper]
  • Kernel Approximation Methods for Speech Recognition. A. May, A.Bagheri Garakani, Z. Lu, D. Guo, K. Liu, A. Bellet, L. Fan, M. Collins, D. Hsu, B. Kingsbury, M. Picheny, F. Sha. Journal of Machine Learning Research (JMLR) 2019. [Paper]
  • A Comparison Between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. Z. Lu, D. Guo, A. Bagheri Garakani, K. Liu, A. May, A. Bellet, L. Fan, M. Collins, B. Kingsbury, M. Picheny, F. Sha. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016. [Paper]
  • A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning. A. Bellet, Y. Liang, A. Bagheri Garakani, M.-F. Balcan and F. Sha. SIAM International Conference on Data Mining (SDM), 2015. [Paper] [Extended Paper] [Slides] [Code]
  • How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. Z. Lu, A. May, K. Liu, A. Bagheri Garakani, D. Guo, A. Bellet, L. Fan, M. Collins, B. Kingsbury, M. Picheny and F. Sha. Technical report, arXiv:1411.4000, 2014. [Paper]
  • Continuous Language Model Adaptation: Automatically learning domain vocabulary and language statistics. A. Bagheri Garakani, V. R. Gadde, E. Tao, J. Diao, Y. Xi, V. Halder, A. Sankar. Cisco Systems C-Tech Forum (internal conference), 2013.
  • Real-Time Classification of Everyday Fitness Activities on Windows Mobile. A. Bagheri Garakani. Senior Thesis. University of Washington Department of Computer Science and Engineering, 2009. [Paper] Best Senior Thesis Award