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stat.ML2023★ 5 cited
Continual Learning via Sequential Function-Space Variational Inference
Tim G. J. Rudner, Freddie Bickford Smith, Qixuan Feng +2
Sequential Bayesian inference over predictive functions is a natural framework for continual learning from streams of data. However, applying it to neural networks has proved chall…
stat.ML2023★ 3 cited
Modern Bayesian Experimental Design
Tom Rainforth, Adam Foster, Desi R Ivanova +1
Bayesian experimental design (BED) provides a powerful and general framework for optimizing the design of experiments. However, its deployment often poses substantial computational…