2 papers
cs.LG2026
Density-Guided Robust Counterfactual Explanations on Tabular Data under Model Multiplicity
Jun Tan, Qing Guo, Zicheng Xu +3
Counterfactual explanations (CEs) are essential for actionable recourse, yet their reliability is often compromised in low-density regions, where classifiers exhibit high variance.…
cs.LG2026
Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting
Jinglin Li, Jun Tan, QI Fang +1
Effectively modeling non-stationary dynamics in probabilistic multivariate time series(MTS) forecasting requires balancing expressiveness with robustness. Existing parametric appro…