Structural causal models reveal confounder bias in linear program modelling.
Matej ZecevicDevendra Singh DhamiKristian KerstingPublished in: Mach. Learn. (2024)
Keyphrases
- linear program
- causal models
- structural model
- causal reasoning
- linear programming
- causal discovery
- semi infinite
- approximate dynamic programming
- causal relations
- optimal solution
- column generation
- conditional independence
- simplex method
- directed acyclic graph
- causal relationships
- multistage stochastic
- objective function
- causal structure
- structural equation models
- integer program
- mixed integer
- interior point methods
- dynamic programming
- np hard
- stochastic programming
- primal dual
- tractable cases
- linear programming problems
- simplex algorithm
- mixed integer linear program
- observational data
- special case
- search space
- reinforcement learning
- quadratic programming
- lp relaxation