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- Predictive performance of power posteriors
- Outlier-robust Kalman Filtering through Generalised Bayes
- Robust and Conjugate Gaussian Process Regression
- The Impact of Loss Estimation on Gibbs Measures
- A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
- Robustifying likelihoods by optimistically re-weighting data
- Robust and Scalable Bayesian Online Changepoint Detection
- Generalized Bayesian Inference for Discrete Intractable Likelihood
- Robust Generalised Bayesian Inference for Intractable Likelihoods
- Robust Bayesian inference for simulator-based models via the MMD posterior bootstrap