3 citations · 7 across the 7 of their papers we have counts for
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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…
cs.LG2022★ 2 cited
Integrated Weak Learning
Peter Hayes, Mingtian Zhang, Raza Habib +3
We introduce Integrated Weak Learning, a principled framework that integrates weak supervision into the training process of machine learning models. Our approach jointly trains 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…