ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation

Mengfan Wang, Boyu Lyu, Guoqiang Yu. ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 10839-10848, PMLR, 2021. [doi]

@inproceedings{WangLY21-8,
  title = {ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation},
  author = {Mengfan Wang and Boyu Lyu and Guoqiang Yu},
  year = {2021},
  url = {http://proceedings.mlr.press/v139/wang21p.html},
  researchr = {https://researchr.org/publication/WangLY21-8},
  cites = {0},
  citedby = {0},
  pages = {10839-10848},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event},
  editor = {Marina Meila and Tong Zhang 0001},
  volume = {139},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}