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Inspiration Exchange - Causality and Treatment Effect Estimation over time
Inspiration Exchange - Treatment effect estimation and ML for Clinical Trials
Inspiration Exchange - Neural differential equation and causal effect inference over time
Inspiration exchange - individualized treatment effect inference (1/2)
Inspiration exchange - individualized treatment effect inference (2/2)
Inspiration Exchange - causal deep learning (part 2/2)
Inspiration Exchange - causal deep learning (part 1/2)
ITE inference - multi-cause hidden confounders over time
Professor Stijn Vansteelandt | Machine learning for the evaluation of treatment effects
ITE inference - learning overlapping representations for treatment effect estimation
ITE inference - continuous treatments (dosage)
ITE inference - dynamic treatment regimes