2 papers
stat.ME2026
Fundamental Limits and Optimal Methods for Sharp Analytical Causal Bounds in Instrumental Variable Models
Arefe Boushehrian, Mohammad Reza Badri, Sina Akbari +1
Bounding causal effects analytically, rather than numerically, is appealing for its interpretability and conceptual clarity. Existing sharp methods rely on optimization-based appro…
cs.LG2026
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained Predictions
Matthew J. Vowels, Mathieu Rochat, Sina Akbari
Artificial Neural Networks (ANNs), including fully-connected networks and transformers, are highly flexible and powerful function approximators, widely applied in fields like compu…