2 papers
cs.LG2025
The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation
Damian Machlanski, Spyridon Samothrakis, Paul Clarke
ML is playing an increasingly crucial role in estimating causal effects of treatments on outcomes from observational data. Many ML methods (`causal estimators') have been proposed…
cs.AI2024
Games of Knightian Uncertainty as AGI testbeds
Spyridon Samothrakis, Dennis J. N. J. Soemers, Damian Machlanski
Arguably, for the latter part of the late 20th and early 21st centuries, games have been seen as the drosophila of AI. Games are a set of exciting testbeds, whose solutions (in ter…