Research

Full list also on Google Scholar. Equal contribution is denoted with [*].

AISTATS
2026
Rickard Karlsson, Piersilvio De Bartolomeis, Issa J. Dahabreh, Jesse H. Krijthe. Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data.
paper code
Biometrics
2026
Rickard Karlsson*, Guanbo Wang*, Piersilvio De Bartolomeis, Jesse H. Krijthe, Issa J. Dahabreh. Robust integration of external control data in randomized trials.
paper code
ICML
2025
Rickard Karlsson, Jesse H. Krijthe. Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms.
paper code
NeurIPS
2023
Rickard Karlsson, Jesse H. Krijthe. Detecting Hidden Confounding in Observational Data using Multiple Environments.
paper code
CLR Workshop
NeurIPS 2023
Rickard Karlsson, Ștefan Creastă, Jesse H. Krijthe. Putting Causal Identification to the Test: Falsification using Multi-Environment Data.
paper
Applied Soft
Computing 2023
Laurens Bliek, Arthur Guijt, Rickard Karlsson, Sicco Verwer, Mathijs de Weerdt. Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions.
paper code
AISTATS
2022
Rickard Karlsson*, Martin Willbo*, Zeshan Hussain, Rahul G. Krishnan, David Sontag, Fredrik D. Johansson. Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models.
paper code
BNAIC/
Benelearn 2020
Rickard Karlsson, Laurens Bliek, Sicco Verwer, Mathijs de Weerdt. Continuous Surrogate-based Optimization Algorithms are Well-suited for Expensive Discrete Problems.
paper

Under Review
2025
Rickard Karlsson*, Bram van den Akker*, Felipe Moraes, Hugo M. Proença, Jesse H. Krijthe. Qini curve estimation under clustered network interference.
paper code