3 papers
stat.ME2026
Generalised Robust Bayes for Joint Inference of Model and Contamination
Masahiro Fujisawa, Masaki Adachi, Takuo Matsubara
Robust generalised Bayesian methods protect parameter inference from contamination but do not generally infer its proportion or identify individual outliers. We propose Hölder--Bay…
cs.LG2025
Variational OOD State Correction for Offline Reinforcement Learning
Ke Jiang, Wen Jiang, Xiaoyang Tan
The performance of Offline reinforcement learning is significantly impacted by the issue of state distributional shift, and out-of-distribution (OOD) state correction is a popular…
stat.ML2025
Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature
Masaki Adachi, Masahiro Fujisawa, Michael A Osborne
Despite the significance of probabilistic time-series forecasting models, their evaluation metrics often involve intractable integrations. The most widely used metric, the continuo…