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MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration

MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration

13 March 2025
Siguang Huang
Yunli Wang
Lili Mou
Huayue Zhang
Han Zhu
Chuan Yu
Bo Zheng
ArXivPDFHTML

Papers citing "MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration"

13 / 13 papers shown
Title
Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems
Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems
Yimeng Bai
Shunyu Zhang
Y. Zhang
Hu Liu
Wentian Bao
Enyun Yu
Fuli Feng
Wenwu Ou
35
0
0
19 Apr 2025
Learning Cascade Ranking as One Network
Yunli Wang
Z. Zhang
Z. Wang
Z. Yang
Y. Li
Jian Yang
Shiyang Wen
Peng Jiang
Kun Gai
49
0
0
13 Mar 2025
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising
Quanyu Dai
Jiaren Xiao
Zhaocheng Du
Jieming Zhu
Chengxiao Luo
Xiao-Ming Wu
Zhenhua Dong
30
0
0
01 Mar 2025
LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy
LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy
Peng Cui
Yiming Yang
Fusheng Jin
Siyuan Tang
Yunli Wang
...
Yalong Jia
Qingpeng Cai
Fei Pan
Changcheng Li
Peng Jiang
65
0
0
25 Nov 2024
Scaling Laws for Online Advertisement Retrieval
Scaling Laws for Online Advertisement Retrieval
Yunli Wang
Z. Yang
Z. Zhang
Zhiqiang Wang
Jian Yang
Shiyang Wen
Peng Jiang
Kun Gai
OffRL
65
4
0
20 Nov 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
Dingyi Zhuang
Chonghe Jiang
Yunhan Zheng
Shenhao Wang
Jinhua Zhao
UQCV
39
0
0
12 Oct 2024
SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large
  Language Models in Cyber Threat Intelligence
SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence
Hangyuan Ji
Jian Yang
Linzheng Chai
Chaoren Wei
Liqun Yang
...
Tianzhen Sun
Hongcheng Guo
Tongliang Li
Changyu Ren
Zhoujun Li
36
6
0
06 May 2024
Uncertainty Quantification on Graph Learning: A Survey
Uncertainty Quantification on Graph Learning: A Survey
Chao Chen
Chenghua Guo
Rui Xu
Xiangwen Liao
Xi Zhang
Sihong Xie
Hui Xiong
Philip S. Yu
AI4CE
29
1
0
23 Apr 2024
Confidence-Aware Multi-Field Model Calibration
Confidence-Aware Multi-Field Model Calibration
Yuang Zhao
Chuhan Wu
Qinglin Jia
Hong Zhu
Jia Yan
Libin Zong
Linxuan Zhang
Zhenhua Dong
Muyu Zhang
16
1
0
27 Feb 2024
Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in
  Online Advertising
Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising
Shuai Yang
Hao Yang
Zhuang Zou
Linhe Xu
Shuo Yuan
Yifan Zeng
27
1
0
17 Jan 2024
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for
  Cascade Ranking Systems
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems
Yunli Wang
Zhiqiang Wang
Jian Yang
Shiyang Wen
Dongying Kong
Han Li
Kun Gai
19
10
0
16 Oct 2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel
  Historical Data Reuse Approach
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach
Zhangming Chan
Yu Zhang
Shuguang Han
Yong Bai
Xiang-Rong Sheng
...
Jiacen Hu
Baolin Liu
Yuning Jiang
Jian Xu
Bo Zheng
23
10
0
22 May 2023
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural
  Predictions in Online Advertising
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising
Penghui Wei
Weimin Zhang
Ruijie Hou
Jinquan Liu
Shaoguo Liu
Liang Wang
Bo Zheng
35
9
0
15 May 2022
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