TabOrder learns unsupervised causal variable orderings and enforces them with order-constrained attention for tabular prediction and imputation under distribution shifts.
Cam: Causal additive models, high-dimensional order search and penalized regression
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Order-based rehearsal learning learns sufficient order structures from observational data to make decisions avoiding undesired events, outperforming graph-based methods and matching oracle graph baselines in experiments.
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Learning Causal Orderings for In-Context Tabular Prediction
TabOrder learns unsupervised causal variable orderings and enforces them with order-constrained attention for tabular prediction and imputation under distribution shifts.
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Order-based Rehearsal Learning
Order-based rehearsal learning learns sufficient order structures from observational data to make decisions avoiding undesired events, outperforming graph-based methods and matching oracle graph baselines in experiments.