Hyperparameter tuning and model evaluation in causal effect estimation D Machlanski, S Samothrakis, P Clarke arXiv preprint arXiv:2303.01412, 2023 | 15 | 2023 |
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice D Machlanski, S Samothrakis, PS Clarke Causal Learning and Reasoning, 703-739, 2024 | 2 | 2024 |
Undersmoothing Causal Estimators with Generative Trees D Machlanski, S Samothrakis, P Clarke IEEE Access, 2024 | 2 | 2024 |
Treatment effect estimation benchmarks D Machlanski IEEE, 2023 | 2 | 2023 |
Understanding hyperparameters in machine learning for causal estimation from observational data D Machlanski University of Essex, 2024 | | 2024 |
Games of Knightian Uncertainty as AGI testbeds S Samothrakis, DJNJ Soemers, D Machlanski 2024 IEEE Conference on Games (CoG), 1-4, 2024 | | 2024 |
Games of Knightian Uncertainty S Samothrakis, DJNJ Soemers, D Machlanski arXiv preprint arXiv:2406.18178, 2024 | | 2024 |
The Importance of Hyperparameter Tuning in Causal Effect Estimation D Machlanski, S Samothrakis, P Clarke | | |