Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Really Doing Great at Estimating CATE? A Critical Look at ML Benchmarking ..."

Alicia Curth et al. (2021)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2022-05-05

- view
  - electronic edition @ neurips.cc (open access)
- export record
  dblp key:
  - conf/nips/CurthSWS21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/CurthSWS21
Alicia Curth, David Svensson, James Weatherall, Mihaela van der Schaar:
Really Doing Great at Estimating CATE? A Critical Look at ML Benchmarking Practices in Treatment Effect Estimation. NeurIPS Datasets and Benchmarks 2021

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.