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Corrected typos in the references #713

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Jul 20, 2023
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315047d
Corrected typos in the references
star1327p Dec 22, 2022
91c1aaa
Refactor DynamicDML to remove incompatible method signatures
kbattocchi Jan 17, 2023
4eaefdd
Enable GitHub Actions
kbattocchi Mar 14, 2023
b92fdc4
Update developer documentation
kbattocchi Mar 17, 2023
cb327c1
Update copyright and links to point to PyWhy
kbattocchi Mar 17, 2023
c63a2d1
Fix status checks in CI workflow
kbattocchi Mar 21, 2023
c865365
Fix #760
kbattocchi Apr 26, 2023
ab3e295
Enable compatability with pandas 2.0
kbattocchi May 3, 2023
44f0dbe
Bump supported shap version limit
kbattocchi May 3, 2023
edeafb5
Use verbose pip install when debugging workflows
kbattocchi May 3, 2023
521d5a1
Fix numpy 1.24 compatibility
kbattocchi May 5, 2023
5d390c4
remove azure pipelines link from README (#771)
fverac May 19, 2023
86e6be9
Prepare 0.14.1 release (#770)
kbattocchi May 19, 2023
b0858eb
Get datasets from web instead of blob
kbattocchi Jun 12, 2023
a7654c1
Generate code coverage report
kbattocchi May 10, 2023
58a98e2
Improve abstract method coverage approach
kbattocchi May 18, 2023
ba54997
Use lkg requirements for PRs
kbattocchi Jun 15, 2023
097d2b2
Fix website publish authentication
kbattocchi Jun 21, 2023
484e0ac
Propagate lkg flag to sub-workflows
kbattocchi Jun 28, 2023
78ddb80
Work around GitHub Actions runner issue
kbattocchi Jun 21, 2023
9c568e4
Add links to PyWhy website and Discord (#788)
fverac Jun 29, 2023
0ccae86
Pin cython<3
kbattocchi Jul 18, 2023
2ccb5f6
Merge branch 'main' into references-update
star1327p Jul 19, 2023
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10 changes: 5 additions & 5 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -739,20 +739,20 @@ We invite you to join us at regular office hours and community calls in the Disc

Athey, Susan, and Stefan Wager.
**Policy learning with observational data.**
Econometrica 89.1 (2021): 133-161.
[*Econometrica 89.1, 133-161*](https://doi.org/10.3982/ECTA15732), 2021.

X Nie, S Wager.
**Quasi-Oracle Estimation of Heterogeneous Treatment Effects.**
[*Biometrika*](https://doi.org/10.1093/biomet/asaa076), 2020
[*Biometrika 108.2, 299-319*](https://doi.org/10.1093/biomet/asaa076), 2021.

V. Syrgkanis, V. Lei, M. Oprescu, M. Hei, K. Battocchi, G. Lewis.
**Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments.**
[*Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS)*](https://arxiv.org/abs/1905.10176), 2019
[*Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS)*](https://arxiv.org/abs/1905.10176), 2019.
**(Spotlight Presentation)**

D. Foster, V. Syrgkanis.
**Orthogonal Statistical Learning.**
[*Proceedings of the 32nd Annual Conference on Learning Theory (COLT)*](https://arxiv.org/pdf/1901.09036.pdf), 2019
[*Proceedings of the 32nd Annual Conference on Learning Theory (COLT)*](https://arxiv.org/pdf/1901.09036.pdf), 2019.
**(Best Paper Award)**

M. Oprescu, V. Syrgkanis and Z. S. Wu.
Expand Down Expand Up @@ -781,4 +781,4 @@ V. Chernozhukov, D. Chetverikov, M. Demirer, E. Duflo, C. Hansen, and a. W. Newe

Dudik, M., Erhan, D., Langford, J., & Li, L.
**Doubly robust policy evaluation and optimization.**
Statistical Science, 29(4), 485-511, 2014.
[*Statistical Science, 29(4), 485-511*](https://projecteuclid.org/journals/statistical-science/volume-29/issue-4/Doubly-Robust-Policy-Evaluation-and-Optimization/10.1214/14-STS500.full), 2014.