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Recently, we presented some basic insights from our effort to measure and predict long-term effects at KDD 2015 [1]. References [1] Henning Hohnhold, Deirdre O'Brien, Diane Tang, Focus on the Long-Term: It's better for Users and Business , Proceedings 21st Conference on KnowledgeDiscovery and Data Mining, 2015. [2]
Proceedings of the 13th ACM SIGKDD international conference on Knowledgediscovery and data mining. 2015): 37-45. [3] Proceedings of the 23rd ACM SIGKDD International Conference on KnowledgeDiscovery and Data Mining. Cambridge University Press, 2015. [6] 2] Scott, Steven L. 3] Hill, Daniel N., ACM, 2017. [4]
References [1] Omkar Muralidharan, Amir Najmi "Second Order Calibration: A Simple Way To Get Approximate Posteriors" , Technical Report, Google, 2015. [2] Brendan McMahan et al, "Ad Click Prediction: a View from the Trenches" , Proceedings of the 19th ACM SIGKDD International Conference on KnowledgeDiscovery and Data Mining (KDD), 2013. [3]
2015) for additional details. Conference on KnowledgeDiscovery and Data Mining, pp. Neural machine translation by jointly learning to align and translate , ICLR, 2015. Skater uses different techniques depending on the type of the model (e.g. regression, multi-class classification etc.), See Wei et al. Bahdanau, D.,
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