duchao0726 / dual Goto Github PK
View Code? Open in Web Editor NEWCode for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"
Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"
作者您好,请问能否提供 在Yahoo R6B 数据集上replay的实验代码
大佬你好,看了你的code的实现,有一些疑问
I have ran the Wide and Deep model on the Amazon Books dataset. The model only generates an AUC of around 0.57.
Has anyone else experienced a similar problem?
I have ran your batchrunner_dnn.py
script and the results I have for DUAL (labelled dnn
) appear to be consistent with those found in your paper. I have adapted your codes to run the DNN model without DUAL (labelled dnn_no_DUAL
), however, the results for this are not consistent with those found in your paper. Box plots showing the range of various metrics for both models can be seen here:
It would be great if you could give me some insight on how you generated the results for "vanilla DNN". Were the hyper-parameters the same as those for the DNN-Dual model found in batchrunner_dnn.py
?
Thank you
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