Review Articles

Discussion of the paper ‘A review of distributed statistical inference’

Heng Lian

Department of Mathematics, City University of Hong Kong, Hong Kong, People's Republic of China

henglian@cityu.edu.hk

Pages 100-101 | Received 11 Nov. 2021, Accepted 20 Nov. 2021, Published online: 28 Dec. 2021,
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References

  • Khetan, A., & Oh, S. (2018). Generalized rank-breaking: Computational and statistical tradeoffs. Journal of Machine Learning Research, 19, 142. https://jmlr.org/papers/volume19/16-412/16-412.pdf
  • Lian, H., Liu, J., & Fan, Z. (2021). Distributed learning for sketched kernel regression. Neural Networks, 143, 368376. https://doi.org/10.1016/j.neunet.2021.06.020
  • Ram, S. S., Nedić, A., & Veeravalli, V. V. (2010). Asynchronous gossip algorithm for stochastic optimization: Constant stepsize analysis. In Recent advances in optimization and its applications in engineering (pp. 5160). Springer.
  • Wang, L., Yang, Z., & Wang, Z. (2019). Statistical-computational tradeoffs in high-dimensional single index models. In Advances in neural information processing systems (pp. 10419–10426). The MIT Press.
  • Wang, T., Berthet, Q., & Samworth, R. J. (2016). Statistical and computational trade-offs in estimation of sparse principal components. Annals of Statistics, 44(5), 18961930. https://doi.org/10.1214/15-AOS1369
  • Yuan, K., Ling, Q., & Yin, W. (2016). On the convergence of decentralized gradient descent. SIAM Journal on Optimization, 26(3), 18351854. https://doi.org/10.1137/130943170

To cite this article: Heng Lian (2021): Discussion of the paper ‘A review of distributed statistical inference’, Statistical Theory and Related Fields, DOI: 10.1080/24754269.2021.2017544
To link to this article: https://doi.org/10.1080/24754269.2021.2017544