Showing 2024Show all
2 papers · 1 filter
stat.ME2024
Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization
Ziwei Su, Diego Klabjan
Stochastic simulation models are generative models that mimic complex systems to help with decision-making. The reliability of these models heavily depends on well-calibrated input…
cs.LG2024
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
Taejong Joo, Diego Klabjan
Self-training often falls short under distribution shifts due to an increased discrepancy between prediction confidence and actual accuracy. This typically necessitates computation…