#EconSky This is a brand new book by Chernozhukov et al on state of the art causal machine learning methods.
causalml-book.org
causalml-book.org
CausalML
causal machine learning book
causalml-book.org
February 22, 2024 at 10:24 PM
#EconSky This is a brand new book by Chernozhukov et al on state of the art causal machine learning methods.
causalml-book.org
causalml-book.org
A really cool-looking book at the intersection of machine learning and causal inference: www.causalml-book.org
Polisky #stats 📈📉
Polisky #stats 📈📉
CausalML
causal machine learning book
www.causalml-book.org
February 22, 2024 at 8:46 PM
A really cool-looking book at the intersection of machine learning and causal inference: www.causalml-book.org
Polisky #stats 📈📉
Polisky #stats 📈📉
The Uncertainty in Artificial Intelligence conference (UAI) is on 🦋!
I'm a bit biased, but this is a fantastic conference for #probabilisticML, #causality, #causalML, #tractable #probabilistic #models, #imprecise probabilities,
#reasoning, #neurosymbolic approaches and more.
#causalSky #statSky
I'm a bit biased, but this is a fantastic conference for #probabilisticML, #causality, #causalML, #tractable #probabilistic #models, #imprecise probabilities,
#reasoning, #neurosymbolic approaches and more.
#causalSky #statSky
We are the premier conference on #uncertainty in #AI and #ML since 1985 🧓
Hello, 🦋!
Follow us to reduce uncertainty!
Hello, 🦋!
Follow us to reduce uncertainty!
December 3, 2024 at 4:31 PM
The Uncertainty in Artificial Intelligence conference (UAI) is on 🦋!
I'm a bit biased, but this is a fantastic conference for #probabilisticML, #causality, #causalML, #tractable #probabilistic #models, #imprecise probabilities,
#reasoning, #neurosymbolic approaches and more.
#causalSky #statSky
I'm a bit biased, but this is a fantastic conference for #probabilisticML, #causality, #causalML, #tractable #probabilistic #models, #imprecise probabilities,
#reasoning, #neurosymbolic approaches and more.
#causalSky #statSky
🚨 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
📢Checkout our new overview on #CausalML in Wiley #StatsRef
👉We give a concise overview of ML for causal inference — incl. IPTW, AIPTW, TMLE, meta-learners, Neyman orthogonality, ...
📄 doi.org/10.1002/9781... (or PM me)
with @larsvanderlaan3.bsky.social @valik-melnychuk.bsky.social
👉We give a concise overview of ML for causal inference — incl. IPTW, AIPTW, TMLE, meta-learners, Neyman orthogonality, ...
📄 doi.org/10.1002/9781... (or PM me)
with @larsvanderlaan3.bsky.social @valik-melnychuk.bsky.social
May 27, 2026 at 5:23 PM
📢Checkout our new overview on #CausalML in Wiley #StatsRef
👉We give a concise overview of ML for causal inference — incl. IPTW, AIPTW, TMLE, meta-learners, Neyman orthogonality, ...
📄 doi.org/10.1002/9781... (or PM me)
with @larsvanderlaan3.bsky.social @valik-melnychuk.bsky.social
👉We give a concise overview of ML for causal inference — incl. IPTW, AIPTW, TMLE, meta-learners, Neyman orthogonality, ...
📄 doi.org/10.1002/9781... (or PM me)
with @larsvanderlaan3.bsky.social @valik-melnychuk.bsky.social
Are causal models probabilistic programs?
ChiRho has an answer.
#causalsky #causalml #python #machinelearning
1/n
ChiRho has an answer.
#causalsky #causalml #python #machinelearning
1/n
November 13, 2023 at 9:29 AM
Are causal models probabilistic programs?
ChiRho has an answer.
#causalsky #causalml #python #machinelearning
1/n
ChiRho has an answer.
#causalsky #causalml #python #machinelearning
1/n
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
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
Day 3 of #ProbAI School is underway!
Jonas Arruda on Simulation-Based Inference + @smaglia.bsky.social on Causal ML. Energy is high after a strong start. Thanks to diamond sponsor Vinted
& all partners! #ProbabilisticAI #SimulationBasedInference #CausalML
Jonas Arruda on Simulation-Based Inference + @smaglia.bsky.social on Causal ML. Energy is high after a strong start. Thanks to diamond sponsor Vinted
& all partners! #ProbabilisticAI #SimulationBasedInference #CausalML
August 5, 2026 at 12:59 PM
Day 3 of #ProbAI School is underway!
Jonas Arruda on Simulation-Based Inference + @smaglia.bsky.social on Causal ML. Energy is high after a strong start. Thanks to diamond sponsor Vinted
& all partners! #ProbabilisticAI #SimulationBasedInference #CausalML
Jonas Arruda on Simulation-Based Inference + @smaglia.bsky.social on Causal ML. Energy is high after a strong start. Thanks to diamond sponsor Vinted
& all partners! #ProbabilisticAI #SimulationBasedInference #CausalML
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
🚨 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
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
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
Join (or enable others to join) my gentle intro to #CausalML next Thursday (11.4.). A 2h ride from OLS to Double ML to Causal Forests only using few lines of R code.
It is going to be fun 😀
It is going to be fun 😀
Our next workshop will be on April 11th, 6 pm CEST, titled Intro to Causal ML estimators in R by @mcknaus.bsky.social ! Register or sponsor a student by donating to support Ukraine!
Details: bit.ly/3wBeY4S
Please share!
#RStats #AcademicSky #EconSky 📊
Details: bit.ly/3wBeY4S
Please share!
#RStats #AcademicSky #EconSky 📊
April 5, 2024 at 2:10 PM
Join (or enable others to join) my gentle intro to #CausalML next Thursday (11.4.). A 2h ride from OLS to Double ML to Causal Forests only using few lines of R code.
It is going to be fun 😀
It is going to be fun 😀
🔥 Check out the new book on combining #ImpactEvaluation and #ArtificialIntelligence: 'Applied #CausalInference Powered by ML and #AI' by Victor Chernozhukov, Christian Hansen, Nathan Kallus, Martin Spindler, and Vasilis Syrgkanis. Available online: causalml-book.org
CausalML
causal machine learning book
causalml-book.org
February 23, 2024 at 12:37 PM
🔥 Check out the new book on combining #ImpactEvaluation and #ArtificialIntelligence: 'Applied #CausalInference Powered by ML and #AI' by Victor Chernozhukov, Christian Hansen, Nathan Kallus, Martin Spindler, and Vasilis Syrgkanis. Available online: causalml-book.org
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
The second free resource is the recent book by Victor Chernozhukov, Hansen, Syrgkanis, and others. www.causalml-book.org
Amazing book if you are interested in Double ML, or incorporating ML models in the estimation of causal effects with root-n consistency.
Amazing book if you are interested in Double ML, or incorporating ML models in the estimation of causal effects with root-n consistency.
CausalML
Applied Causal Inference Powered by ML and AI. Victor Chernozhukov, Christian Hansen, Nathan Kallus, Martin Spindler, Vasilis Syrgkanis.
www.causalml-book.org
August 31, 2024 at 11:47 PM
The second free resource is the recent book by Victor Chernozhukov, Hansen, Syrgkanis, and others. www.causalml-book.org
Amazing book if you are interested in Double ML, or incorporating ML models in the estimation of causal effects with root-n consistency.
Amazing book if you are interested in Double ML, or incorporating ML models in the estimation of causal effects with root-n consistency.
🔍 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
Hey folks👋
My name is Ben and I’m a Data Scientist at Uber working on RecSys and CausalML. I’m a proud statistician with interests in matrix analysis and graph inference.
I live in NYC where I enjoy running long distances and reading a bit of everything. Find me here dravesb.github.io!
My name is Ben and I’m a Data Scientist at Uber working on RecSys and CausalML. I’m a proud statistician with interests in matrix analysis and graph inference.
I live in NYC where I enjoy running long distances and reading a bit of everything. Find me here dravesb.github.io!
Benjamin Draves
dravesb.github.io
November 16, 2024 at 2:54 AM
Hey folks👋
My name is Ben and I’m a Data Scientist at Uber working on RecSys and CausalML. I’m a proud statistician with interests in matrix analysis and graph inference.
I live in NYC where I enjoy running long distances and reading a bit of everything. Find me here dravesb.github.io!
My name is Ben and I’m a Data Scientist at Uber working on RecSys and CausalML. I’m a proud statistician with interests in matrix analysis and graph inference.
I live in NYC where I enjoy running long distances and reading a bit of everything. Find me here dravesb.github.io!
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
🎉New preprint: #CausalML to analyze effects of behavioral interventions
• We use #CausalML to learn when loss vs. gain framing works
• 2 field experiments (N=41,207) from retirement saving
• Personalization⬆️participation +51% & savings +18%
papers.ssrn.com/sol3/papers....
• We use #CausalML to learn when loss vs. gain framing works
• 2 field experiments (N=41,207) from retirement saving
• Personalization⬆️participation +51% & savings +18%
papers.ssrn.com/sol3/papers....
<p>Heterogeneous Effects of Loss Versus Gain Framing on Retirement Savings: Evidence from Two Randomized Field Experiments Using Causal Machine Learning</p>
As Western countries face rapidly aging populations, insufficient retirement savings threaten individual financial security and the sustainability of social wel
papers.ssrn.com
June 3, 2026 at 9:07 AM
🎉New preprint: #CausalML to analyze effects of behavioral interventions
• We use #CausalML to learn when loss vs. gain framing works
• 2 field experiments (N=41,207) from retirement saving
• Personalization⬆️participation +51% & savings +18%
papers.ssrn.com/sol3/papers....
• We use #CausalML to learn when loss vs. gain framing works
• 2 field experiments (N=41,207) from retirement saving
• Personalization⬆️participation +51% & savings +18%
papers.ssrn.com/sol3/papers....