68 citations · 489 across the 32 of their papers we have counts for
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cs.LG2019
Generating the support with extreme value losses
Nicholas Guttenberg
When optimizing against the mean loss over a distribution of predictions in the context of a regression task, then even if there is a distribution of targets the optimal prediction…
cs.LG2018★ 2 cited
Learning to generate classifiers
Nicholas Guttenberg, Ryota Kanai
We train a network to generate mappings between training sets and classification policies (a 'classifier generator') by conditioning on the entire training set via an attentional m…
cs.LG2017★ 3 cited
Counterfactual Control for Free from Generative Models
Nicholas Guttenberg, Yen Yu, Ryota Kanai
We introduce a method by which a generative model learning the joint distribution between actions and future states can be used to automatically infer a control scheme for any desi…