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Adapting to Online Label Shift with Provable Guarantees

Adapting to Online Label Shift with Provable Guarantees

5 July 2022
Yong Bai
Yu-Jie Zhang
Peng Zhao
Masashi Sugiyama
Zhi-Hua Zhou
    OOD
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Papers citing "Adapting to Online Label Shift with Provable Guarantees"

16 / 16 papers shown
Title
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Dheeraj Baby
Boran Han
Shuai Zhang
Cuixiong Hu
Yuyang Wang
Yu-Xiang Wang
OOD
48
0
0
09 Apr 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice
Eric Heim
Oren Wright
David Shriver
OOD
FaML
63
0
0
01 Mar 2025
Fully Test-time Adaptation for Tabular Data
Fully Test-time Adaptation for Tabular Data
Zhi-Hua Zhou
Kun-Yang Yu
Lan-Zhe Guo
Yu Li
TTA
LMTD
87
0
0
14 Dec 2024
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture
Ruidong Fan
Xiao Ouyang
Hong Tao
Yuhua Qian
Chenping Hou
OOD
42
0
0
04 Nov 2024
An adaptive transfer learning perspective on classification in
  non-stationary environments
An adaptive transfer learning perspective on classification in non-stationary environments
Henry W J Reeve
29
0
0
28 May 2024
Adapting to Covariate Shift in Real-time by Encoding Trees with Motion
  Equations
Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations
Tham Yik Foong
Heng Zhang
Mao Po Yuan
Danilo Vasconcellos Vargas
OOD
19
0
0
08 Apr 2024
Model Assessment and Selection under Temporal Distribution Shift
Model Assessment and Selection under Temporal Distribution Shift
Elise Han
Chengpiao Huang
Kaizheng Wang
OOD
37
2
0
13 Feb 2024
Online Feature Updates Improve Online (Generalized) Label Shift
  Adaptation
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation
Ruihan Wu
Siddhartha Datta
Yi Su
Dheeraj Baby
Yu-Xiang Wang
Kilian Q. Weinberger
19
1
0
05 Feb 2024
A Stability Principle for Learning under Non-Stationarity
A Stability Principle for Learning under Non-Stationarity
Chengpiao Huang
Kaizheng Wang
24
2
0
27 Oct 2023
An Adaptive Method for Weak Supervision with Drifting Data
An Adaptive Method for Weak Supervision with Drifting Data
Alessio Mazzetto
Reza Esfandiarpoor
E. Upfal
Stephen H. Bach
Stephen H. Bach
51
1
0
02 Jun 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
Dheeraj Baby
Saurabh Garg
Tzu-Ching Yen
Sivaraman Balakrishnan
Zachary Chase Lipton
Yu-Xiang Wang
20
7
0
31 May 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
17
10
0
22 May 2023
Adapting to Continuous Covariate Shift via Online Density Ratio
  Estimation
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
Yu-Jie Zhang
Zhenyu Zhang
Peng Zhao
Masashi Sugiyama
OOD
14
11
0
06 Feb 2023
No-Regret Learning in Time-Varying Zero-Sum Games
No-Regret Learning in Time-Varying Zero-Sum Games
Mengxiao Zhang
Peng Zhao
Haipeng Luo
Zhi-Hua Zhou
29
38
0
30 Jan 2022
Optimal Dynamic Regret in Exp-Concave Online Learning
Optimal Dynamic Regret in Exp-Concave Online Learning
Dheeraj Baby
Yu-Xiang Wang
37
43
0
23 Apr 2021
Non-stationary Online Learning with Memory and Non-stochastic Control
Non-stationary Online Learning with Memory and Non-stochastic Control
Peng Zhao
Yu-Hu Yan
Yu-Xiang Wang
Zhi-Hua Zhou
16
47
0
07 Feb 2021
1