Research Interests

  • High Dimensional Statistics
  • Stochastic Optimization for Machine Learning

Publications

  • Random Quadratic Forms with Dependence : Applications to Restricted Isometry and Beyond
    A. Banerjee, Q. Gu, V. Sivakumar, and S. Wu
    Advances in Neural Information Processing Systems (NeurIPS), 2019. [][]
  • Hessian based analysis of SGD for Deep Nets : Dynamics and Generalization
    X. Li*, Q. Gu*, Y. Zhou*, T. Chen, and A. Banerjee (* equal contribution)
    arXiv:1907.10732, 2019. []
  • Sketched Iterative Algorithms for Structured Generalized Linear Models
    Q. Gu and A. Banerjee
    International Joint Conference on Artificial Intelligence (IJCAI), 2019. []
  • Scalable Algorithms for Locally Low-Rank Matrix Modeling
    Q. Gu, J. Trzasko, and A. Banerjee
    Knowledge and Information Systems (KAIS), 2019. []
    Invited for journal publication as Best of ICDM'17
  • Scalable Algorithms for Locally Low-Rank Matrix Modeling
    Q. Gu, J. Trzasko, and A. Banerjee
    International Conference on Data Mining (ICDM) (long paper), 2017. []
  • High Dimensional Structured Superposition Models
    Q. Gu and A. Banerjee
    Advances in Neural Information Processing Systems (NIPS), 2016. [][]

Experience

University of Minnesota, Twin-Cities

Graduate Teaching Assistant • Sep, 2019 — Present

CSCI 4041 — Algorithms and Data Structures

Yahoo!

Research Intern • Jun, 2017 — Sep, 2017

matrix factorization with multiple latent factors

Awards

Student Travel Award

NeurIPS • 2016, 2019

Student Travel Award

ICDM • 2017