Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Robust Correction of Sampling Bias using Cumulative Distribution Functions #36

Open
nocotan opened this issue Feb 25, 2021 · 0 comments
Open

Robust Correction of Sampling Bias using Cumulative Distribution Functions #36

nocotan opened this issue Feb 25, 2021 · 0 comments
Assignees
@nocotan
Labels
covariate shift sampling bias

Comments

@nocotan
Copy link
Member

nocotan commented Feb 25, 2021

一言でいうと

  • 経験累積分布関数によって共変量シフトを扱う新しい手法を提案

論文リンク

https://papers.nips.cc/paper/2020/file/24368c745de15b3d2d6279667debcba3-Paper.pdf

著者/所属機関

Bijan Mazaheri et al.
(Department of Computing and Mathematical Sciences, California Institute of Technology)

投稿日付(yyyy/MM/dd)

2020/12

概要

ほとんどの共変量シフト適応の手法は密度比に基づくが，密度比の推定は異なるデータセット間で推定が難しく，パラメータチューニングも必要になる．
著者らは，経験累積分布関数によって共変量シフトを扱う新しい手法を提案．

Screen Shot 2021-02-26 at 2 36 55

新規性・差分

  • 経験累積分布関数によって共変量シフトを扱う新しい手法を提案

手法

Screen Shot 2021-02-26 at 2 37 55

Screen Shot 2021-02-26 at 2 38 02

Screen Shot 2021-02-26 at 2 38 08

結果

Screen Shot 2021-02-26 at 2 38 15

Screen Shot 2021-02-26 at 2 38 24

コメント
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@nocotan nocotan

Labels
covariate shift sampling bias
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@nocotan