Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions

26 May 2019

Papers citing "Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions"

5 / 5 papers shown

Title
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning Penghui Wei Hongjian Dou Shaoguo Liu Rong Tang Li Liu Liangji Wang Bo Zheng FedML 29 12 0 15 May 2023
Variable-Based Calibration for Machine Learning Classifiers Mark Kelly Padhraic Smyth 27 4 0 30 Sep 2022
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model Xiang-Rong Sheng Jingyue Gao Yueyao Cheng Siran Yang Shuguang Han Hongbo Deng Yuning Jiang Jian Xu Bo Zheng 23 26 0 12 Aug 2022
A Unified Framework for Campaign Performance Forecasting in Online Display Advertising Jun Chen Cheng Chen Huayue Zhang Qing Tan 26 2 0 24 Feb 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016