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stat.ML2022
Towards Healing the Blindness of Score Matching
Mingtian Zhang, Oscar Key, Peter Hayes +3
Score-based divergences have been widely used in machine learning and statistics applications. Despite their empirical success, a blindness problem has been observed when using the…
stat.ML2022★ 3 cited
Generalization Gap in Amortized Inference
Mingtian Zhang, Peter Hayes, David Barber
The ability of likelihood-based probabilistic models to generalize to unseen data is central to many machine learning applications such as lossless compression. In this work, we st…
stat.ML2018★ 1 cited
Spread Divergence
Mingtian Zhang, Peter Hayes, Tom Bird +2
For distributions and with different supports or undefined densities, the divergence may not exist. We define a Sprea…