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Damian Machlanski
Damian Machlanski
Research Associate in Causal AI, CHAI, University of Edinburgh
在 ed.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
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年份
Hyperparameter tuning and model evaluation in causal effect estimation
D Machlanski, S Samothrakis, P Clarke
arXiv preprint arXiv:2303.01412, 2023
152023
Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice
D Machlanski, S Samothrakis, PS Clarke
Causal Learning and Reasoning, 703-739, 2024
22024
Undersmoothing Causal Estimators with Generative Trees
D Machlanski, S Samothrakis, P Clarke
IEEE Access, 2024
22024
Treatment effect estimation benchmarks
D Machlanski
IEEE, 2023
22023
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
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