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math.OC2025
Scenario-based Regularization: A Tractable Framework for Distributionally Robust Stochastic Optimization
Diego Fonseca, Mauricio Junca
We propose a flexible scenario-based regularized Sample Average Approximation (SBR-SAA) framework for stochastic optimization. This work is motivated by challenges in standard Wass…
cs.LG2025
Apprenticeship learning with prior beliefs using inverse optimization
Mauricio Junca, Esteban Leiva
The relationship between inverse reinforcement learning (IRL) and inverse optimization (IO) for Markov decision processes (MDPs) has been relatively underexplored in the literature…