Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution. - Topi Paananen; Juho Piironen; Michael Riis Andersen; Aki Vehtari (AISTATS, 2019)

Uncertainty-aware sensitivity analysis using Rényi divergences. - Topi Paananen; Michael Riis Andersen; Aki Vehtari (UAI, 2021)

Implicitly adaptive importance sampling. - Topi Paananen; Juho Piironen; Paul-Christian Bürkner; Aki Vehtari (Stat. Comput., 2021)

Feature Collapsing for Gaussian Process Variable Ranking. - Isaac Sebenius; Topi Paananen; Aki Vehtari (AISTATS, 2022)

Detecting and diagnosing prior and likelihood sensitivity with power-scaling. - Noa Kallioinen; Topi Paananen; Paul-Christian Bürkner; Aki Vehtari (Stat. Comput., 2024)