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- A computationally-tractable measure of global sensitivity for sampling-based Bayesian inference
- Conservative neural posterior estimation via distributionally robust training
- Amortised and provably-robust simulation-based inference
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- Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets