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cs.LG2025
Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems
Alan A. Lahoud, Erik Schaffernicht, Johannes A. Stork
Learning representations for solutions of constrained optimization problems (COPs) with unknown cost functions is challenging, as models like (Variational) Autoencoders struggle to…
cs.LG2025
DFW: A Novel Weighting Scheme for Covariate Balancing and Treatment Effect Estimation
Ahmad Saeed Khan, Erik Schaffernicht, Johannes Andreas Stork
Estimating causal effects from observational data is challenging due to selection bias, which leads to imbalanced covariate distributions across treatment groups. Propensity score-…