Rickard Karlsson
@rickardkarlsson.bsky.social
PhD student working on causal inference and ML @ TU Delft
rickardkarlsson.com
rickardkarlsson.com
I'm at ICML in Vancouver this week to present two posters. I'm particularly into in causality and data fusion problems, but also broadly interested in more statistical topics. If you're also interested in these, please feel free to reach out to me.
#ICML #CausalSky
#ICML #CausalSky
July 13, 2025 at 5:03 PM
I'm at ICML in Vancouver this week to present two posters. I'm particularly into in causality and data fusion problems, but also broadly interested in more statistical topics. If you're also interested in these, please feel free to reach out to me.
#ICML #CausalSky
#ICML #CausalSky
Reposted by Rickard Karlsson
Rickard Karlsson, Piersilvio De Bartolomeis, Issa J. Dahabreh, Jesse H. Krijthe
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
https://arxiv.org/abs/2507.03681
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
https://arxiv.org/abs/2507.03681
July 8, 2025 at 6:33 AM
Rickard Karlsson, Piersilvio De Bartolomeis, Issa J. Dahabreh, Jesse H. Krijthe
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
https://arxiv.org/abs/2507.03681
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
https://arxiv.org/abs/2507.03681
Reposted by Rickard Karlsson
We are hiring! We have an exciting PhD opportunity to improve trustworthiness of causal inference at TU Delft, in collaboration with @jeremylabrecque.bsky.social, in the Safe Causal Inference consortium. Apply now!
#PhD #CausalInference #MachineLearning #Statistics
careers.tudelft.nl/job/Delft-Ph...
#PhD #CausalInference #MachineLearning #Statistics
careers.tudelft.nl/job/Delft-Ph...
PhD Position Causal Inference & Machine Learning
PhD Position Causal Inference & Machine Learning
careers.tudelft.nl
June 23, 2025 at 10:30 AM
We are hiring! We have an exciting PhD opportunity to improve trustworthiness of causal inference at TU Delft, in collaboration with @jeremylabrecque.bsky.social, in the Safe Causal Inference consortium. Apply now!
#PhD #CausalInference #MachineLearning #Statistics
careers.tudelft.nl/job/Delft-Ph...
#PhD #CausalInference #MachineLearning #Statistics
careers.tudelft.nl/job/Delft-Ph...
🎉 I'm excited to share that our paper, “Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms” has been accepted to ICML 2025! The camera-ready version is now available on arXiv.
📑 Paper link: arxiv.org/abs/2502.06231
#causalinference #machinelearning #icml2025
📑 Paper link: arxiv.org/abs/2502.06231
#causalinference #machinelearning #icml2025
June 3, 2025 at 8:10 AM
🎉 I'm excited to share that our paper, “Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms” has been accepted to ICML 2025! The camera-ready version is now available on arXiv.
📑 Paper link: arxiv.org/abs/2502.06231
#causalinference #machinelearning #icml2025
📑 Paper link: arxiv.org/abs/2502.06231
#causalinference #machinelearning #icml2025
Reposted by Rickard Karlsson
HIRING!
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
PhD Candidates Causal machine learning – Performance assessment of causal predictive algorithms | LUMC
Do you want to work on challenging problems within causal inference and contribute to algorithms that support treatment decisions for individual patients? As PhD candidate causal machine learning at t...
www.lumc.nl
May 19, 2025 at 8:39 AM
HIRING!
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
2 PhD openings within the “Safe Causal Inference” consortium with experts from biostatistics, computer science, math, and epidemiology.
You'll develop new methods to evaluate prediction algorithms that take the causal effect of treatments into account.
👉 www.lumc.nl/en/about-lum....
Reposted by Rickard Karlsson
Rickard K. A. Karlsson, Bram van den Akker, Felipe Moraes, Hugo M. Proen\c{c}a, Jesse H. Krijthe
Qini curve estimation under clustered network interference
https://arxiv.org/abs/2502.20097
Qini curve estimation under clustered network interference
https://arxiv.org/abs/2502.20097
February 28, 2025 at 6:29 AM
Rickard K. A. Karlsson, Bram van den Akker, Felipe Moraes, Hugo M. Proen\c{c}a, Jesse H. Krijthe
Qini curve estimation under clustered network interference
https://arxiv.org/abs/2502.20097
Qini curve estimation under clustered network interference
https://arxiv.org/abs/2502.20097
When can we falsify the assumption of no unmeasured confounding in observational studies?
In our latest work, we develop a more efficient test for falsifying this assumption when we have data from multiple environments. A quick breakdown👇
In our latest work, we develop a more efficient test for falsifying this assumption when we have data from multiple environments. A quick breakdown👇
February 19, 2025 at 4:17 PM
When can we falsify the assumption of no unmeasured confounding in observational studies?
In our latest work, we develop a more efficient test for falsifying this assumption when we have data from multiple environments. A quick breakdown👇
In our latest work, we develop a more efficient test for falsifying this assumption when we have data from multiple environments. A quick breakdown👇
Reposted by Rickard Karlsson
Rickard K. A. Karlsson, Jesse H. Krijthe
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
https://arxiv.org/abs/2502.06231
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
https://arxiv.org/abs/2502.06231
February 11, 2025 at 7:09 AM
Rickard K. A. Karlsson, Jesse H. Krijthe
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
https://arxiv.org/abs/2502.06231
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
https://arxiv.org/abs/2502.06231