Excited to share our new paper in Psychological Methods: “Machine Learning for Propensity Score Estimation: A Systematic Review and Reporting Guidelines.” Led by Prof. Walter Leite (UF) with 6 co-authors across 6 universities. DOI: doi.org/10.1037/met0...
#CausalML #PropensityScore
#CausalML #PropensityScore
APA PsycNet
doi.org
October 20, 2025 at 4:18 PM
Excited to share our new paper in Psychological Methods: “Machine Learning for Propensity Score Estimation: A Systematic Review and Reporting Guidelines.” Led by Prof. Walter Leite (UF) with 6 co-authors across 6 universities. DOI: doi.org/10.1037/met0...
#CausalML #PropensityScore
#CausalML #PropensityScore
New AI framework X-MultiTask achieves a top AUC of 0.84 for anterior spinal-fusion and 0.77 for posterior, with lowest ε_nn-PEHE of 0.2778. Read more: https://getnews.me/ai-framework-enhances-causal-machine-learning-for-surgical-treatment-effects/ #causalml #surgery
September 26, 2025 at 4:21 PM
New AI framework X-MultiTask achieves a top AUC of 0.84 for anterior spinal-fusion and 0.77 for posterior, with lowest ε_nn-PEHE of 0.2778. Read more: https://getnews.me/ai-framework-enhances-causal-machine-learning-for-surgical-treatment-effects/ #causalml #surgery
Excited to join the Impact 25 workshop at #EurIPS2025 in Copenhagen, Dec 6–7! 🌍✨
We'll explore how to boost the real-world impact of causal ML, representation learning, discovery & inference across health, social & earth sciences.
👉 impact-25.causal.dev
#CausalInference #CausalML #Impact25
We'll explore how to boost the real-world impact of causal ML, representation learning, discovery & inference across health, social & earth sciences.
👉 impact-25.causal.dev
#CausalInference #CausalML #Impact25
September 22, 2025 at 8:50 AM
Excited to join the Impact 25 workshop at #EurIPS2025 in Copenhagen, Dec 6–7! 🌍✨
We'll explore how to boost the real-world impact of causal ML, representation learning, discovery & inference across health, social & earth sciences.
👉 impact-25.causal.dev
#CausalInference #CausalML #Impact25
We'll explore how to boost the real-world impact of causal ML, representation learning, discovery & inference across health, social & earth sciences.
👉 impact-25.causal.dev
#CausalInference #CausalML #Impact25
The new Causal‑Symbolic Meta‑Learning (CSML) framework learns causal graphs from few examples and outperformed baselines on the CausalWorld benchmark. Read more: https://getnews.me/causal-symbolic-meta-learning-enables-few-shot-causal-reasoning/ #causalml #meta-learning
September 18, 2025 at 5:49 AM
The new Causal‑Symbolic Meta‑Learning (CSML) framework learns causal graphs from few examples and outperformed baselines on the CausalWorld benchmark. Read more: https://getnews.me/causal-symbolic-meta-learning-enables-few-shot-causal-reasoning/ #causalml #meta-learning
the original paper repo github.com/CausalML/VMM
and this related paper repo github.com/HeinerKremer...
have pretty solid implementations imo. More generally, since VMM is an ERM problem, I think you could use any general optimization for it?
and this related paper repo github.com/HeinerKremer...
have pretty solid implementations imo. More generally, since VMM is an ERM problem, I think you could use any general optimization for it?
GitHub - HeinerKremer/conditional-moment-restrictions: Estimators for conditional moment restriction problems
Estimators for conditional moment restriction problems - HeinerKremer/conditional-moment-restrictions
github.com
September 16, 2025 at 3:53 PM
the original paper repo github.com/CausalML/VMM
and this related paper repo github.com/HeinerKremer...
have pretty solid implementations imo. More generally, since VMM is an ERM problem, I think you could use any general optimization for it?
and this related paper repo github.com/HeinerKremer...
have pretty solid implementations imo. More generally, since VMM is an ERM problem, I think you could use any general optimization for it?
difficult to validate and built on untestable assumptions about the causal structure, confounds etc. Adding more covariates doesn't necessarily help. See "The Good, the Bad, and the Ugly" section on CausalML here arxiv.org/pdf/2206.15475
arxiv.org
August 20, 2025 at 2:51 PM
difficult to validate and built on untestable assumptions about the causal structure, confounds etc. Adding more covariates doesn't necessarily help. See "The Good, the Bad, and the Ugly" section on CausalML here arxiv.org/pdf/2206.15475
This has become my latest pet peeve. "Causal" is sexy and creates the impression that you're uncovering mechanism(s), but "causal estimates" are often just associational and/or reliant on strong assumptions that are rarely met.
E.g., CausalML applied to observational data. Cool, but...
E.g., CausalML applied to observational data. Cool, but...
However, AI folk, it is going to be far, far better if we collectively call "back in time" or "left" in the normal way to lay out time as "antecedent" and *not* causal.
August 20, 2025 at 2:51 PM
This has become my latest pet peeve. "Causal" is sexy and creates the impression that you're uncovering mechanism(s), but "causal estimates" are often just associational and/or reliant on strong assumptions that are rarely met.
E.g., CausalML applied to observational data. Cool, but...
E.g., CausalML applied to observational data. Cool, but...
🚨 Hiring a postdoc @ucdavis.bsky.social GSM!
Work on causal inference + econometrics + ML:
- Heterogeneous effects
- Dynamic interventions
- Censoring & noncompliance
Strong stats theory + R/Python
Start: Fall 2025
Apply → recruit.ucdavis.edu/JPF07156
#CausalML #EconSky #PostdocJobs
Work on causal inference + econometrics + ML:
- Heterogeneous effects
- Dynamic interventions
- Censoring & noncompliance
Strong stats theory + R/Python
Start: Fall 2025
Apply → recruit.ucdavis.edu/JPF07156
#CausalML #EconSky #PostdocJobs
Postdoctoral Position- UC Davis Graduate School of Management
University of California, Davis is hiring. Apply now!
recruit.ucdavis.edu
July 20, 2025 at 9:26 AM
🚨 Hiring a postdoc @ucdavis.bsky.social GSM!
Work on causal inference + econometrics + ML:
- Heterogeneous effects
- Dynamic interventions
- Censoring & noncompliance
Strong stats theory + R/Python
Start: Fall 2025
Apply → recruit.ucdavis.edu/JPF07156
#CausalML #EconSky #PostdocJobs
Work on causal inference + econometrics + ML:
- Heterogeneous effects
- Dynamic interventions
- Censoring & noncompliance
Strong stats theory + R/Python
Start: Fall 2025
Apply → recruit.ucdavis.edu/JPF07156
#CausalML #EconSky #PostdocJobs
Causal machine learning for assessing the effectiveness of off-label use of amiodarone in new-onset atrial fibrillation
Feuerriegel, S., Ghanbari, H. et al.
Paper
Details
#CausalML #OffLabelAmiodarone #AFibTreatment
Feuerriegel, S., Ghanbari, H. et al.
Paper
Details
#CausalML #OffLabelAmiodarone #AFibTreatment
June 27, 2025 at 9:02 AM
Causal machine learning for assessing the effectiveness of off-label use of amiodarone in new-onset atrial fibrillation
Feuerriegel, S., Ghanbari, H. et al.
Paper
Details
#CausalML #OffLabelAmiodarone #AFibTreatment
Feuerriegel, S., Ghanbari, H. et al.
Paper
Details
#CausalML #OffLabelAmiodarone #AFibTreatment
Grateful to present recent research @SFU International Conference in Statistics & Data Science 2025 Simon Fraser University in Vancouver on #TargetTrialEmulation using electronic health records to estimate average treatment effects & #CausalML conditional average treatment effects
June 26, 2025 at 1:40 AM
Grateful to present recent research @SFU International Conference in Statistics & Data Science 2025 Simon Fraser University in Vancouver on #TargetTrialEmulation using electronic health records to estimate average treatment effects & #CausalML conditional average treatment effects
🚨 Call for Papers: Causal Data Science Meeting 2025
📅 November 12–13, 2025 (Virtual)
📥 Submit by Sept 30: submission@causalscience.org
🎙️ Keynote: Stefan Feuerriegel (LMU Munich)
🌐 More Info and registration: causalscience.org
#CausalML #AI #DataScience #CDSM2025 #CanIPetThatDAG
📅 November 12–13, 2025 (Virtual)
📥 Submit by Sept 30: submission@causalscience.org
🎙️ Keynote: Stefan Feuerriegel (LMU Munich)
🌐 More Info and registration: causalscience.org
#CausalML #AI #DataScience #CDSM2025 #CanIPetThatDAG
June 6, 2025 at 1:54 PM
🚨 Call for Papers: Causal Data Science Meeting 2025
📅 November 12–13, 2025 (Virtual)
📥 Submit by Sept 30: submission@causalscience.org
🎙️ Keynote: Stefan Feuerriegel (LMU Munich)
🌐 More Info and registration: causalscience.org
#CausalML #AI #DataScience #CDSM2025 #CanIPetThatDAG
📅 November 12–13, 2025 (Virtual)
📥 Submit by Sept 30: submission@causalscience.org
🎙️ Keynote: Stefan Feuerriegel (LMU Munich)
🌐 More Info and registration: causalscience.org
#CausalML #AI #DataScience #CDSM2025 #CanIPetThatDAG
Bookmark our lab page and GitHub repo to follow our work:
muratkocaoglu.com/CausalML/
github.com/CausalML-Lab
muratkocaoglu.com/CausalML/
github.com/CausalML-Lab
CausalML Lab
muratkocaoglu.com
June 3, 2025 at 8:42 AM
Bookmark our lab page and GitHub repo to follow our work:
muratkocaoglu.com/CausalML/
github.com/CausalML-Lab
muratkocaoglu.com/CausalML/
github.com/CausalML-Lab
CausalML Lab will continue to push the boundaries of fundamental causal inference and discovery research with an added focus on real-world applications and impact. If you are at Johns Hopkins @jhu.edu, or more generally on the East Coast, and are interested in collaborating, please reach out.
June 3, 2025 at 8:42 AM
CausalML Lab will continue to push the boundaries of fundamental causal inference and discovery research with an added focus on real-world applications and impact. If you are at Johns Hopkins @jhu.edu, or more generally on the East Coast, and are interested in collaborating, please reach out.
The OutcomeWeights #RStats package now has a logo and a new vignette illustrating how Double ML improves covariate balance over "Single ML" RA or IPW.
Check it out:
mcknaus.github.io/OutcomeWeigh...
#causalSky #causalML
Check it out:
mcknaus.github.io/OutcomeWeigh...
#causalSky #causalML
May 28, 2025 at 2:11 PM
The OutcomeWeights #RStats package now has a logo and a new vignette illustrating how Double ML improves covariate balance over "Single ML" RA or IPW.
Check it out:
mcknaus.github.io/OutcomeWeigh...
#causalSky #causalML
Check it out:
mcknaus.github.io/OutcomeWeigh...
#causalSky #causalML
Want to use machine learning not only to predict what is going to happen but also to uncover and understand causal relationships?
Marica Valente (@econstatuibk.bsky.social)will show you how to do that in her online #GESISfallseminar course!
Register Now!
t1p.de/CausalML
@gesis.org
Marica Valente (@econstatuibk.bsky.social)will show you how to do that in her online #GESISfallseminar course!
Register Now!
t1p.de/CausalML
@gesis.org
May 27, 2025 at 8:03 AM
Want to use machine learning not only to predict what is going to happen but also to uncover and understand causal relationships?
Marica Valente (@econstatuibk.bsky.social)will show you how to do that in her online #GESISfallseminar course!
Register Now!
t1p.de/CausalML
@gesis.org
Marica Valente (@econstatuibk.bsky.social)will show you how to do that in her online #GESISfallseminar course!
Register Now!
t1p.de/CausalML
@gesis.org
One year ago I gave a #CausalML Workshop for Ukraine 🇺🇦
We hand-coded DoubleML and causal forest in very few lines of code to exactly replicate their package outputs.
If you better understand theory through coding like me, check it out.
You find the R notebook now online: shorturl.at/uM82n
#RStats
We hand-coded DoubleML and causal forest in very few lines of code to exactly replicate their package outputs.
If you better understand theory through coding like me, check it out.
You find the R notebook now online: shorturl.at/uM82n
#RStats
Introduction to Causal ML estimators in R
shorturl.at
April 25, 2025 at 10:25 AM
One year ago I gave a #CausalML Workshop for Ukraine 🇺🇦
We hand-coded DoubleML and causal forest in very few lines of code to exactly replicate their package outputs.
If you better understand theory through coding like me, check it out.
You find the R notebook now online: shorturl.at/uM82n
#RStats
We hand-coded DoubleML and causal forest in very few lines of code to exactly replicate their package outputs.
If you better understand theory through coding like me, check it out.
You find the R notebook now online: shorturl.at/uM82n
#RStats
I think people are waiting for clear proof that #Causal ML will do better on real world problems. Right now everyone uses supervised ML and ignores confounding. I’m working on a project at my company to try #CausalML. High memory usage for large datasets is a problem for CML
April 10, 2025 at 1:53 PM
Want to use machine learning not only to predict what is going to happen but also to uncover and understand causal relationships? Marica Valente will show you how to do that in “Causal Machine Learning” (22-26 Sep)!
🏢 Online
➡️ t1p.de/CausalML
🏢 Online
➡️ t1p.de/CausalML
April 8, 2025 at 1:24 PM
Want to use machine learning not only to predict what is going to happen but also to uncover and understand causal relationships? Marica Valente will show you how to do that in “Causal Machine Learning” (22-26 Sep)!
🏢 Online
➡️ t1p.de/CausalML
🏢 Online
➡️ t1p.de/CausalML
🔍 Causal ML for Predicting Treatment Outcomes
📅 March 12 | 🕓 16:00h
🎙️ By Valentyn Melnychuk
Join us to explore how causal machine learning helps predict treatment effects with real-world impact! 🚀
#CausalML #MachineLearning #AI
📅 March 12 | 🕓 16:00h
🎙️ By Valentyn Melnychuk
Join us to explore how causal machine learning helps predict treatment effects with real-world impact! 🚀
#CausalML #MachineLearning #AI
February 20, 2025 at 1:39 PM
🔍 Causal ML for Predicting Treatment Outcomes
📅 March 12 | 🕓 16:00h
🎙️ By Valentyn Melnychuk
Join us to explore how causal machine learning helps predict treatment effects with real-world impact! 🚀
#CausalML #MachineLearning #AI
📅 March 12 | 🕓 16:00h
🎙️ By Valentyn Melnychuk
Join us to explore how causal machine learning helps predict treatment effects with real-world impact! 🚀
#CausalML #MachineLearning #AI
Made my first PR on an #OpenSource project. Before now, all the projects I worked with had everything I needed. The PR is just a small suggestion to improve memory performance in #EconML (#causalml) - we'll see what the repo maintainers think of my hackery, haha...
January 22, 2025 at 3:55 PM
Made my first PR on an #OpenSource project. Before now, all the projects I worked with had everything I needed. The PR is just a small suggestion to improve memory performance in #EconML (#causalml) - we'll see what the repo maintainers think of my hackery, haha...
We will present this work at #NeurIPS2024 on Wednesday at 4:30pm local time in Vancouver. Poster #5107.
Led by my PhD students Zihan Zhou and Qasim Elahi.
Paper link:
openreview.net/forum?id=RfS...
Follow us for more updates from the #CausalML Lab!
Led by my PhD students Zihan Zhou and Qasim Elahi.
Paper link:
openreview.net/forum?id=RfS...
Follow us for more updates from the #CausalML Lab!
Sample Efficient Bayesian Learning of Causal Graphs from Interventions
Causal discovery is a fundamental problem with applications spanning various areas in science and engineering. It is well understood that solely using observational data, one can only orient the...
openreview.net
December 10, 2024 at 5:13 PM
We will present this work at #NeurIPS2024 on Wednesday at 4:30pm local time in Vancouver. Poster #5107.
Led by my PhD students Zihan Zhou and Qasim Elahi.
Paper link:
openreview.net/forum?id=RfS...
Follow us for more updates from the #CausalML Lab!
Led by my PhD students Zihan Zhou and Qasim Elahi.
Paper link:
openreview.net/forum?id=RfS...
Follow us for more updates from the #CausalML Lab!
I will present this work at #NeurIPS2024 next Thursday at 11am local time in Vancouver. Poster #5104.
Led by my PhD student Qasim Elahi. Joint work with my colleague Mahsa Ghasemi.
Paper link:
openreview.net/forum?id=uM3...
Follow us for more updates from the #CausalML Lab!
Led by my PhD student Qasim Elahi. Joint work with my colleague Mahsa Ghasemi.
Paper link:
openreview.net/forum?id=uM3...
Follow us for more updates from the #CausalML Lab!
Partial Structure Discovery is Sufficient for No-regret Learning in...
Causal knowledge about the relationships among decision variables and a reward variable in a bandit setting can accelerate the learning of an optimal decision. Current works often assume the causal...
openreview.net
December 8, 2024 at 7:36 PM
I will present this work at #NeurIPS2024 next Thursday at 11am local time in Vancouver. Poster #5104.
Led by my PhD student Qasim Elahi. Joint work with my colleague Mahsa Ghasemi.
Paper link:
openreview.net/forum?id=uM3...
Follow us for more updates from the #CausalML Lab!
Led by my PhD student Qasim Elahi. Joint work with my colleague Mahsa Ghasemi.
Paper link:
openreview.net/forum?id=uM3...
Follow us for more updates from the #CausalML Lab!
We will present this work at #NeurIPS2024 next Thursday at 11am local time in Vancouver. Poster #5103.
Joint work led by my PhD student
Md. Musfiqur Rahman and colleague Matt Jordan.
Paper link:
openreview.net/forum?id=vym...
Follow us for more updates from the #CausalML Lab!
Joint work led by my PhD student
Md. Musfiqur Rahman and colleague Matt Jordan.
Paper link:
openreview.net/forum?id=vym...
Follow us for more updates from the #CausalML Lab!
Conditional Generative Models are Sufficient to Sample from Any...
Causal inference from observational data plays critical role in many applications in trustworthy machine learning.
While sound and complete algorithms exist to compute causal effects, many of them...
openreview.net
December 8, 2024 at 12:57 AM
We will present this work at #NeurIPS2024 next Thursday at 11am local time in Vancouver. Poster #5103.
Joint work led by my PhD student
Md. Musfiqur Rahman and colleague Matt Jordan.
Paper link:
openreview.net/forum?id=vym...
Follow us for more updates from the #CausalML Lab!
Joint work led by my PhD student
Md. Musfiqur Rahman and colleague Matt Jordan.
Paper link:
openreview.net/forum?id=vym...
Follow us for more updates from the #CausalML Lab!