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d0a662f
initial commit
jeongyoonlee Mar 30, 2023
cde95d6
update schedule
jeongyoonlee Mar 30, 2023
04a772a
fix CI
jeongyoonlee Mar 30, 2023
683238b
Merge pull request #1 from causal-machine-learning/jeong/update_schedule
jeongyoonlee Mar 30, 2023
c60cfa2
revert jekyll version
jeongyoonlee Mar 30, 2023
ab730eb
Merge pull request #2 from causal-machine-learning/jeong/fix_ci
jeongyoonlee Mar 30, 2023
ea8b0e3
remove index.html
jeongyoonlee Mar 30, 2023
81e9fad
Merge pull request #3 from causal-machine-learning/jeong/remove_index…
jeongyoonlee Mar 30, 2023
027f286
add index.html back
jeongyoonlee Mar 30, 2023
50175a7
Merge pull request #4 from causal-machine-learning/jeong/add_index_back
jeongyoonlee Mar 30, 2023
6e2731b
Updated invited speakers
jeongyoonlee Apr 8, 2023
824bc54
Update README.md
jeongyoonlee Apr 8, 2023
89aa1c6
Merge pull request #5 from causal-machine-learning/jeong/update_invit…
jeongyoonlee Apr 8, 2023
3422b64
add Ang Li to invited speakers
jeongyoonlee Apr 11, 2023
7ec9ecc
Merge pull request #6 from causal-machine-learning/jeong/add_angli
jeongyoonlee Apr 12, 2023
83d6485
Update issue templates
jeongyoonlee Apr 12, 2023
5830ca8
add the CfP page
jeongyoonlee Apr 14, 2023
b57ee59
Merge pull request #7 from causal-machine-learning/jeong/add_cfp
jeongyoonlee Apr 15, 2023
45bf3cc
replace cfp.html with cfp.md
jeongyoonlee Apr 15, 2023
8982f32
Merge pull request #8 from causal-machine-learning/jeong/update_cfp
jeongyoonlee Apr 15, 2023
b44ce72
update abstract, add the link to CfP
jeongyoonlee Apr 15, 2023
57ee61f
style fix
jeongyoonlee Apr 15, 2023
c92281e
Merge pull request #9 from causal-machine-learning/jeong/update_index
jeongyoonlee Apr 15, 2023
ecbc739
fix the cfp link in index.html
jeongyoonlee Apr 15, 2023
554b693
Merge pull request #10 from causal-machine-learning/jeong/fix_cfp_link
jeongyoonlee Apr 15, 2023
6195ea2
update time to TBD. add Vasilis to keynote speakers
jeongyoonlee Apr 17, 2023
e87dff8
Merge pull request #11 from causal-machine-learning/jeong/update_time
jeongyoonlee Apr 17, 2023
28b9243
update the logo image
jeongyoonlee Apr 17, 2023
4f78228
update the logo image
jeongyoonlee Apr 17, 2023
edc72fb
update the logo image
jeongyoonlee Apr 17, 2023
c1859ef
Merge pull request #12 from causal-machine-learning/jeong/update_logo
jeongyoonlee Apr 17, 2023
a5288f1
add the submission portal link, invited talk abstracts and speaker bios
jeongyoonlee Apr 30, 2023
7bfa5b5
Merge pull request #13 from causal-machine-learning/jeong/add_cmtlink
jeongyoonlee Apr 30, 2023
99b8862
fix broken link/images
jeongyoonlee Apr 30, 2023
f2c3d93
Merge pull request #14 from causal-machine-learning/jeong/hotfix_readme
jeongyoonlee Apr 30, 2023
aace389
fix the submission link
jeongyoonlee May 1, 2023
29e1dd5
Merge pull request #15 from causal-machine-learning/jeong/hotfix_subm…
jeongyoonlee May 1, 2023
3917f8e
extend the abstract submission deadline by a week
jeongyoonlee May 24, 2023
28b54cd
Merge pull request #16 from causal-machine-learning/jeong/extend_abst…
jeongyoonlee May 24, 2023
69e5a60
extended the paper submission deadline by a week
jeongyoonlee Jun 12, 2023
84fa393
Merge pull request #17 from causal-machine-learning/jeong/paper_deadl…
huigangchen Jun 12, 2023
93478ee
update cfp. remove Raif's abstract per his request
jeongyoonlee Jul 8, 2023
639e582
Merge pull request #18 from causal-machine-learning/jeong/remove_raif…
jeongyoonlee Jul 8, 2023
f47c0fb
Update README.md
t-tte Jul 18, 2023
cb0c7fa
update accepted papers and invited talks
jeongyoonlee Jul 26, 2023
489686b
Merge pull request #19 from causal-machine-learning/jeong/update_acce…
jeongyoonlee Jul 26, 2023
dde7313
fix formatting
jeongyoonlee Jul 26, 2023
3032fe7
Merge pull request #20 from causal-machine-learning/jeong/fix_formatting
jeongyoonlee Jul 26, 2023
27a311b
Update author's bio
paullo0106 Jul 31, 2023
064fe51
Merge pull request #21 from causal-machine-learning/plo/author_bio_up…
jeongyoonlee Jul 31, 2023
67a85c2
add the title for Ang Li's invited talk
jeongyoonlee Aug 2, 2023
74dcf68
Merge pull request #22 from causal-machine-learning/jeong/add_title_a…
jeongyoonlee Aug 2, 2023
427fc82
update time and schedule
jeongyoonlee Aug 4, 2023
a96dd5a
Merge pull request #23 from causal-machine-learning/jeong/update_time…
jeongyoonlee Aug 4, 2023
bc4de82
add speakers' affiliation to the schedule
jeongyoonlee Aug 4, 2023
0400f65
Merge pull request #24 from causal-machine-learning/jeong/update_time…
jeongyoonlee Aug 4, 2023
ab4b212
Update README.md
jpansnap Aug 23, 2023
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10 changes: 10 additions & 0 deletions .github/ISSUE_TEMPLATE/task-template.md
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@@ -0,0 +1,10 @@
---
name: Task template
about: Tasks related to launch and organize the KDD 2023 workshop
title: "[Task] "
labels: ''
assignees: ''

---

* Deadline:
4 changes: 2 additions & 2 deletions .github/ISSUE_TEMPLATE/upgrade.md
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@@ -1,8 +1,8 @@
---
name: "[fastpages] Automated Upgrade"
about: "Trigger a PR for upgrading fastpages"
about: Trigger a PR for upgrading fastpages
title: "[fastpages] Automated Upgrade"
labels: fastpages-automation
labels: ''
assignees: ''

---
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1 change: 1 addition & 0 deletions .gitignore
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Expand Up @@ -11,4 +11,5 @@ _notebooks/.ipynb_checkpoints
# Local Netlify folder
.netlify
.tweet-cache
.DS_Store
__pycache__
233 changes: 153 additions & 80 deletions README.md

Large diffs are not rendered by default.

2 changes: 1 addition & 1 deletion _action_files/settings.ini
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@ description = Writing a library entirely in notebooks
keywords = jupyter notebook
author = Sylvain Gugger and Jeremy Howard
author_email = [email protected]
baseurl = /kdd2021-tutorial
baseurl = /kdd2023-workshop
title = nbdev
copyright = fast.ai
license = apache2
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14 changes: 7 additions & 7 deletions _config.yml
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Expand Up @@ -6,11 +6,11 @@
# https://learn-the-web.algonquindesign.ca/topics/markdown-yaml-cheat-sheet/#yaml
# https://learnxinyminutes.com/docs/yaml/

title: EconML/CausalML KDD 2021 Tutorial
description: EconML/CausalML KDD 2021 Tutorial
title: KDD 2023 Workshop - Causal Inference and Machine Learning in Practice
description: KDD 2023 Workshop - Causal Inference and Machine Learning in Practice
github_username: causal-machine-learning
# you can comment the below line out if your repo name is not different than your baseurl
github_repo: "kdd2021-tutorial"
github_repo: "kdd2023-workshop"

# OPTIONAL: override baseurl and url if using a custom domain
# Note: leave out the trailing / from this value.
Expand All @@ -34,13 +34,13 @@ url: "https://causal-machine-learning.github.io" # the base hostname & protocol
#
# 3. You must replace the parameter `baseurl` in _action_files/settings.ini with the same value as you set here but WITHOUT QUOTES.
#
baseurl: "/kdd2021-tutorial" # the subpath of your site, e.g. "/blog".
baseurl: "/kdd2023-workshop" # the subpath of your site, e.g. "/blog".

# Github and twitter are optional:
minima:
social_links:
twitter: CausalMachine
github: causal-machine-learning
- { platform: github, user_url: "https://github.com/causal-machine-learning/" }
- { platform: twitter, user_url: "https://twitter.com/CausalMachine" }

# Set this to true to get LaTeX math equation support
use_math: true
Expand Down Expand Up @@ -100,7 +100,7 @@ plugins:
paginate: 15
paginate_path: /page:num/

remote_theme: jekyll/minima
remote_theme: jekyll/minima@6513ea8b9c1c4909b6aa79926d52a1f7d865c5e7

titles_from_headings:
enabled: true
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10 changes: 5 additions & 5 deletions _fastpages_docs/_setup_pr_template.md
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Expand Up @@ -4,22 +4,22 @@ Hello :wave: @causal-machine-learning! Thank you for using fastpages!

1. Create an ssh key-pair. Open <a href="https://8gwifi.org/sshfunctions.jsp" target="_blank">this utility</a>. Select: `RSA` and `4096` and leave `Passphrase` blank. Click the blue button `Generate-SSH-Keys`.

2. Navigate to <a href="https://github.com/causal-machine-learning/kdd2021-tutorial/settings/secrets" target="_blank">this link</a> and click `New repository secret`. Copy and paste the **Private Key** into the `Value` field. This includes the "---BEGIN RSA PRIVATE KEY---" and "--END RSA PRIVATE KEY---" portions. **In the `Name` field, name the secret `SSH_DEPLOY_KEY`.**
2. Navigate to <a href="https://github.com/causal-machine-learning/kdd2023-workshop/settings/secrets" target="_blank">this link</a> and click `New repository secret`. Copy and paste the **Private Key** into the `Value` field. This includes the "---BEGIN RSA PRIVATE KEY---" and "--END RSA PRIVATE KEY---" portions. **In the `Name` field, name the secret `SSH_DEPLOY_KEY`.**

3. Navigate to <a href="https://github.com/causal-machine-learning/kdd2021-tutorial/settings/keys" target="_blank">this link</a> and click the `Add deploy key` button. Paste your **Public Key** from step 1 into the `Key` box. In the `Title`, name the key anything you want, for example `fastpages-key`. Finally, **make sure you click the checkbox next to `Allow write access`** (pictured below), and click `Add key` to save the key.
3. Navigate to <a href="https://github.com/causal-machine-learning/kdd2023-workshop/settings/keys" target="_blank">this link</a> and click the `Add deploy key` button. Paste your **Public Key** from step 1 into the `Key` box. In the `Title`, name the key anything you want, for example `fastpages-key`. Finally, **make sure you click the checkbox next to `Allow write access`** (pictured below), and click `Add key` to save the key.

![](https://raw.githubusercontent.com/fastai/fastpages/master/_fastpages_docs/_checkbox.png)


### What to Expect After Merging This PR

- GitHub Actions will build your site, which will take 2-3 minutes to complete. **This will happen anytime you push changes to the master branch of your repository.** You can monitor the logs of this if you like on the [Actions tab of your repo](https://github.com/causal-machine-learning/kdd2021-tutorial/actions).
- GitHub Actions will build your site, which will take 2-3 minutes to complete. **This will happen anytime you push changes to the master branch of your repository.** You can monitor the logs of this if you like on the [Actions tab of your repo](https://github.com/causal-machine-learning/kdd2023-workshop/actions).
- Your GH-Pages Status badge on your README will eventually appear and be green, indicating your first successful build.
- You can monitor the status of your site in the GitHub Pages section of your [repository settings](https://github.com/causal-machine-learning/kdd2021-tutorial/settings).
- You can monitor the status of your site in the GitHub Pages section of your [repository settings](https://github.com/causal-machine-learning/kdd2023-workshop/settings).

If you are not using a custom domain, your website will appear at:

#### https://causal-machine-learning.github.io/kdd2021-tutorial
#### https://causal-machine-learning.github.io/kdd2023-workshop


## Optional: Using a Custom Domain
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62 changes: 62 additions & 0 deletions _pages/cfp.md
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---
permalink: /cfp/
layout: default
title: Call for Paper
search_exclude: true
---

# **Call for Paper**

## **Important Dates**

All deadlines are at 11:59 PM [AoE](https://www.timeanddate.com/time/zones/aoe).
* ~~April 30th, 2023: CMT submission portal opens~~
* ~~May 23rd, 2023 **May 30th, 2023**: Abstract submission deadline **(extended)**~~
* ~~June 9th, 2023 **June 16th, 2023**: Workshop paper submission deadline **(extended)**~~
* ~~July 10th, 2023: Paper decision notifications~~
* ~~July 24th, 2023: Camera-ready deadline~~
* August 7th, 2023: Workshop

## **Submission Link**

* CMT submission portal: [https://cmt3.research.microsoft.com/CMLKDD2023/](https://cmt3.research.microsoft.com/CMLKDD2023/)

## **Aim and Scope**

The workshop aims to bring together researchers and practitioners from academia and industry to share their experiences
and insights on applying causal inference and machine learning techniques to real-world problems in the areas of
product, brand, policy, and beyond.

We welcome papers on a variety of topics, including but not limited to the following:
* Industry use cases where causal inference and machine learning are used in practice
* Challenges and opportunities for using causal inference and machine learning in industry settings
* Techniques for incorporating causal inference into machine learning models
* Methodologies for evaluating causal machine-learning models in practice

We encourage submissions from researchers and practitioners working in industry, government, and academia. We welcome
papers that present new research results, works in progress, or case studies that showcase the application of causal
inference and machine learning techniques to real-world problems.

All submissions will be peer-reviewed by the program committee, and accepted papers will be presented as contributed
talks or posters during the workshop.

## **Submission and Formatting Instructions**

* Submissions are single-blind—author names and affiliations should be listed.
* Submissions are limited to 6 pages (excluding references), must be in PDF, and use the ACM Conference Proceeding
template (two-column format).
* The recommended setting for Latex documents is:
`\documentclass[sigconf, review]{acmart}`.
* Additional supplemental material focused on reproducibility can be provided. Proofs, pseudo-code, and code may also be
included in the supplement, which has no explicit page limit.
* The supplementary material should be included in the same pdf file as the main manuscript. The main body of the paper
should be self-contained since reviewers are not required to read the supplementary material. The supplementary material
will not be included in the proceedings.
* Submissions violating these formatting requirements will be desk-rejected.
* The Word template guideline can be found [here](https://www.acm.org/publications/proceedings-template).
* The Latex/overleaf template guideline can be found
[here](https://www.overleaf.com/latex/templates/association-for-computing-machinery-acm-sig-proceedings-template/bmvfhcdnxfty).

For any questions or inquiries, please contact the workshop organizers at [[email protected]](mailto:[email protected]) and
[[email protected]](mailto:[email protected]). We
look forward to your submissions!
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