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cs.LG2022
Joint control variate for faster black-box variational inference
Xi Wang, Tomas Geffner, Justin Domke
Black-box variational inference performance is sometimes hindered by the use of gradient estimators with high variance. This variance comes from two sources of randomness: Data sub…
cs.LG2022
Robustness to corruption in pre-trained Bayesian neural networks
Xi Wang, Laurence Aitchison
We develop ShiftMatch, a new training-data-dependent likelihood for robustness to corruption in Bayesian neural networks (BNNs). ShiftMatch is inspired by the training-data-depende…