Predicting accurate probabilities with a ranking loss

18 June 2012

Papers citing "Predicting accurate probabilities with a ranking loss"

27 / 27 papers shown

Title
Confidence-Aware Multi-Field Model Calibration Yuang Zhao Chuhan Wu Qinglin Jia Hong Zhu Jia Yan Libin Zong Linxuan Zhang Zhenhua Dong Muyu Zhang 98 1 0 27 Feb 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions Siddartha Devic Aleksandra Korolova David Kempe Vatsal Sharan 104 6 0 14 Feb 2024
Perception and Semantic Aware Regularization for Sequential Confidence Calibration Zhenghua Peng Yuanmao Luo Tianshui Chen Keke Xu Shuangping Huang AI4TS 83 2 0 31 May 2023
Sequential Linearithmic Time Optimal Unimodal Fitting When Minimizing Univariate Linear Losses Kaan Gokcesu Hakan Gokcesu 99 0 0 04 Apr 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 126 1 0 23 Mar 2023
Calibrated Regression Against An Adversary Without Regret Shachi Deshpande Charles Marx Volodymyr Kuleshov 185 0 0 23 Feb 2023
Isotonic Recalibration under a Low Signal-to-Noise Ratio M. Wüthrich Johanna Fasciati-Ziegel 39 13 0 06 Jan 2023
Optimizing Two-way Partial AUC with an End-to-end Framework Zhiyong Yang Qianqian Xu Shilong Bao Yuan He Xiaochun Cao Qingming Huang 84 21 0 23 Jun 2022
A Log-Linear Time Sequential Optimal Calibration Algorithm for Quantized Isotonic L2 Regression Kaan Gokcesu Hakan Gokcesu 112 1 0 01 Jun 2022
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems Yewen Fan Nian Si Kun Zhang 26 2 0 19 May 2022
Obtaining Calibrated Probabilities with Personalized Ranking Models Wonbin Kweon SeongKu Kang Hwanjo Yu FedML 70 15 0 09 Dec 2021
Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses Kaan Gokcesu Hakan Gokcesu 48 5 0 31 Oct 2021
An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry V. Seethi Z. LaCasse P. Chivte Joshua Bland Shrihari S. Kadkol E. Gaillard Pratool Bharti Hamed Alhoori 31 10 0 28 Sep 2021
Optimally Efficient Sequential Calibration of Binary Classifiers to Minimize Classification Error Kaan Gokcesu Hakan Gokcesu 106 18 0 19 Aug 2021
Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes Jai Moondra Hassan Mortagy Swati Gupta 87 4 0 22 Jun 2021
Calibrating sufficiently Dirk Tasche UQCV 61 11 0 15 May 2021
On the Inference Calibration of Neural Machine Translation Shuo Wang Zhaopeng Tu Shuming Shi Yang Liu 113 83 0 03 May 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning Tailin Wu 128 1 0 11 Jan 2020
Adversarial Time-to-Event Modeling Paidamoyo Chapfuwa Chenyang Tao Chunyuan Li C. Page B. Goldstein Lawrence Carin Ricardo Henao AAML OOD CML 105 92 0 09 Apr 2018
Calibration of Machine Learning Classifiers for Probability of Default Modelling Pedro G. Fonseca Hugo D. Lopes 25 10 0 24 Oct 2017
Deep Learning for Patient-Specific Kidney Graft Survival Analysis Margaux Luck Tristan Sylvain H. Cardinal Andrea Lodi Yoshua Bengio SyDa 156 116 0 29 May 2017
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels Curtis G. Northcutt Tailin Wu Isaac L. Chuang NoLa 112 160 0 04 May 2017
Learning Optimized Risk Scores Berk Ustun Cynthia Rudin 208 84 0 01 Oct 2016
Estimating Uncertainty Online Against an Adversary Volodymyr Kuleshov Stefano Ermon OOD 46 7 0 13 Jul 2016
Online Isotonic Regression W. Kotłowski Wouter M. Koolen Alan Malek 89 18 0 14 Mar 2016
Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models Mahdi Pakdaman Naeini G. Cooper UQCV MQ 63 44 0 16 Nov 2015
Binary Classifier Calibration: Non-parametric approach Mahdi Pakdaman Naeini G. Cooper Milos Hauskrecht 106 17 0 14 Jan 2014