COAST learns context-specific causal graphs and structural causal models from data, then uses constraint-aware multi-objective optimization to identify interventions that induce user-defined state transitions while balancing efficacy, complexity, and stability.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Causal Intelligence for Constraint-Aware Intervention Design to Induce State Transitions
COAST learns context-specific causal graphs and structural causal models from data, then uses constraint-aware multi-objective optimization to identify interventions that induce user-defined state transitions while balancing efficacy, complexity, and stability.