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stat.ML2026
Amortised adaptive importance sampling
Arran Carter, Víctor Elvira, Esmeralda S. Whitammer
Monte Carlo sampling algorithms aim to produce samples from a target distribution with a given unnormalised probability density function. The high cost of running Monte Carlo algor…
stat.ML2025
Partial Trace-Class Bayesian Neural Networks
Arran Carter, Torben Sell
Bayesian neural networks (BNNs) allow rigorous uncertainty quantification in deep learning, but often come at a prohibitive computational cost. We propose three different innovativ…