3 papers
stat.ML2026
Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models: An Empirical Study using Environmental and Visual Predictors
Sherly Alfonso-Sánchez, Cristián Bravo, Kristina G. Stankova
Geographic context is often consider relevant to motor insurance risk, yet public actuarial datasets provide limited location identifiers, constraining how this information can be…
stat.ML2024
Are causal effect estimations enough for optimal recommendations under multitreatment scenarios?
Sherly Alfonso-Sánchez, Kristina P. Sendova, Cristián Bravo
When making treatment selection decisions, it is essential to include a causal effect estimation analysis to compare potential outcomes under different treatments or controls, assi…
q-fin.GN2023
Optimizing Credit Limit Adjustments Under Adversarial Goals Using Reinforcement Learning
Sherly Alfonso-Sánchez, Jesús Solano, Alejandro Correa-Bahnsen +2
Reinforcement learning has been explored for many problems, from video games with deterministic environments to portfolio and operations management in which scenarios are stochasti…