Talks

Kook L (2025). “Falsifying causal models via nonparametric conditional independence testing.” IWSM, Limerick, Ireland, received the “Early-Career Presentation Award (Runner-up)”.

Kook L (2025). “Regression-based conditional independence testing in statistics and causal inference.” Invited talk (host: Pawel Morzywolek, online), University of Washington, USA.

Kook L (2024). “Instrumental variable estimation of distributional causal effects.” Invited talk, ICSDS, Nice, France.

Kook L (2024). “Instrumental variable estimation of distributional causal effects.” Invited talk, University of Limerick, Ireland.

Kook L (2024). “Instrumental variable estimation of distributional causal effects.” Invited talk (host: Stefan Feuerriegel), LMU Munich, Germany.

L (2024). “Algorithm-agnostic inference with multimodal data.” Invited talk, Bernoulli-ims 11th World Congress in Probability and Statistics, Bochum, Germany.

Kook L (2023). “Model-based causal feature selection for general response types.” Invited talk, UZH Econometrics Seminar, Zurich, Switzerland.

Kook L (2023). “Distributional regression with neural networks in R.” Invited talk, CMStatistics Berlin, Germany.

Kook L (2023). “Invariant causal prediction for non-additive noise models.” Contributed talk, EMS Warsaw, Poland.

Kook L (2023). “Invariant causal prediction for non-additive noise models.” Contributed talk, NORDSTAT Gothenburg, Sweden.

Kook L (2022). “Ensembling deep transformation models.” Invited talk, CMStatistics London, Great Britain.

Kook L, Herzog L, Dürr O, Hothorn T, Wegener S, Sick B (2021). “Interpretable effect estimates in semi-structured deep distributional regression.” ISCB’42, Lyon (online).

Kook L (2021). “Ordinal neural network transformation models.” Invited talk, LMU Munich (online).

Kook L, Herzog L, Grabner H, Wegener S, Sick B (2021). “Improving treatment decisions in acute stroke using deep-learning based risk analysis.” Freenovation Science Forum (online).