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cs.LG2022
Autoregressive Generative Modeling with Noise Conditional Maximum Likelihood Estimation
Henry Li, Yuval Kluger
We introduce a simple modification to the standard maximum likelihood estimation (MLE) framework. Rather than maximizing a single unconditional likelihood of the data under the mod…
stat.ML2022
ManiFeSt: Manifold-based Feature Selection for Small Data Sets
David Cohen, Tal Shnitzer, Yuval Kluger +1
In this paper, we present a new method for few-sample supervised feature selection (FS). Our method first learns the manifold of the feature space of each class using kernels captu…
cs.LG2022
Neural Inverse Transform Sampler
Henry Li, Yuval Kluger
Any explicit functional representation of a density is hampered by two main obstacles when we wish to use it as a generative model: designing so that sampling is fast, and…