📣New ICML Conference: Fair Off-Policy Learning from Observational Data

👉 we learn #decision rules from observational data under different notions of #fairness

arxiv.org/abs/2303.08516

w/ Dennis Frauen Valentyn Melnychuk 🇺🇦

📢New preprint on #AI : Machine learning can help track #climate #technology innovation

papers.ssrn.com/sol3/papers.cf…

w/ Malte Toetzke et al

Workflows for Causal ML in Medicine?

This new Nature Medicine paper offers a perspective.

1/n

#casualtwitter #medicine #rct #causalAI #machinelearning

⚡️New preprint: The effect of social media ads on election outcomes

👉We analyze 21,641 political #ads from FB+Insta with ∼126m impressions from 2021 election in 🇩🇪
👉∼200k impressions ➡️+2% votes
💰Price per vote: €4

📰osf.io/q8mxj

w/ Dominik Bär Nicolas Pröllochs

Can we make medical treatments safer, more efficient, and more personalised by training AI models to answer 'what if?' questions? See our Nature Medicine paper to learn HOW we can empower clinicians and patients using causal ML: vanderschaar-lab.com/training-ai-mo…

Causal #machinelearning could predict treatment outcomes for subgroups and even individual patients; our latest Perspective outlines the potential benefits and limitations, offering guidance for clinical use.
Stefan Feuerriegel Universität München The Alan Turing Institute
nature.com/articles/s4159…

I've worked tirelessly on cracking this problem with generations of students. It’s an extremely challenging area of ML and seeing it come closer to clinical use, where it will empower clinicians & patients alike, is very satisfying: nature.com/articles/s4159…
#AI #PatientEmpowerment

#AI in #Medicine : Using news methods of causal #MachineLearning could make #therapies safer, more efficient, and more individualized, predicts a team led by LMU researcher Stefan Feuerriegel.
lmu.de/en/newsroom/ne…

The team includes researchers from Munich (@LMU_Muenchen,…

🥳New paper forthcoming at chilconference:

Data-driven #subgrouping of patient trajectories with chronic diseases: Evidence from low back pain

arxiv.org/abs/2404.10580

Excellent conference by CLeaR-Conference on Causal Learning and Reasoning 👌

🤓 Great talks around #causal #ML for causal discovery, causal fairness, causal effect estimation, etc
🚀 Great keynotes including by Judea Pearl

🎉New paper at ACM CSCW

👉Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine

🌎arxiv.org/abs/2307.12788

w/ Dominique Geissler

I am visiting @stanford for the next couple of weeks. PM for a coffee in the Bay Area.

Our paper on using #causalML in preventive medicine 👇

New preprint: Comparing the willingness to share for human-generated vs. AI-generated fake news

👉arxiv.org/abs/2402.07395