2 papers
stat.ME2026
Contrastive Bayesian Inference for Unnormalized Models
Naruki Sonobe, Shonosuke Sugasawa, Daichi Mochihashi +1
Unnormalized (or energy-based) models provide a flexible framework for capturing the characteristics of data with complex dependency structures. However, the application of standar…
stat.ME2025
Sampling from density power divergence-based generalized posterior distribution via stochastic optimization
Naruki Sonobe, Tomotaka Momozaki, Tomoyuki Nakagawa
Robust Bayesian inference using density power divergence (DPD) has emerged as a promising approach for handling outliers in statistical estimation. Although the DPD-based posterior…