New Analysis and Algorithm for Learning with Drifting Distributions

19 May 2012

Papers citing "New Analysis and Algorithm for Learning with Drifting Distributions"

21 / 21 papers shown

Title
Beyond IID: data-driven decision-making in heterogeneous environments Omar Besbes Will Ma Omar Mouchtaki 42 7 0 03 Jan 2025
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning Zhilong Li Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Mengmeng Chen Qiqi Liu Qicheng Lao Han Yu FedML 34 1 0 09 Oct 2024
Domain Adaptation with Cauchy-Schwarz Divergence Wenzhe Yin Shujian Yu Yicong Lin Jie Li J. Sonke E. Gavves 29 3 0 30 May 2024
Non-stationary Domain Generalization: Theory and Algorithm Thai-Hoang Pham Xueru Zhang Ping Zhang OOD 51 1 0 10 May 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang Pei-Yuan Qiu Prashant Khanduri Minghong Fang Jia Liu FedML 40 1 0 04 May 2024
A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention Recognition Xiao-Yin Liu Guo-Tao Li Xiao-Hu Zhou Xu Liang Zeng-Guang Hou 67 0 0 19 Apr 2024
A Stability Principle for Learning under Non-Stationarity Chengpiao Huang Kaizheng Wang 32 2 0 27 Oct 2023
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study Luis P. Silvestrin Shujian Yu Mark Hoogendoorn OOD 31 1 0 17 Jul 2023
An Adaptive Method for Weak Supervision with Drifting Data Alessio Mazzetto Reza Esfandiarpoor E. Upfal Stephen H. Bach Stephen H. Bach 65 1 0 02 Jun 2023
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria Tengyuan Liang 20 1 0 05 Dec 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning Fei Ye A. Bors CLL 19 28 0 12 Oct 2022
The Value of Out-of-Distribution Data Ashwin De Silva Rahul Ramesh Carey E. Priebe Pratik Chaudhari Joshua T. Vogelstein OODD 19 11 0 23 Aug 2022
Open-environment Machine Learning Zhi-Hua Zhou VLM 32 133 0 01 Jun 2022
Minimax risk classifiers with 0-1 loss Santiago Mazuelas Mauricio Romero Peter Grünwald 22 6 0 17 Jan 2022
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? Zhong Li Zhen Fang Feng Liu Jie Lu Bo Yuan Guangquan Zhang 23 54 0 30 Dec 2020
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data Yishay Mansour M. Mohri Jae Hun Ro A. Suresh Ke Wu 45 28 0 19 Jul 2020
A No-Free-Lunch Theorem for MultiTask Learning Steve Hanneke Samory Kpotufe 18 39 0 29 Jun 2020
Adversarial Weighting for Domain Adaptation in Regression Antoine de Mathelin Guillaume Richard Francois Deheeger Mathilde Mougeot Nicolas Vayatis OOD 43 45 0 15 Jun 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 36 565 0 25 Feb 2020
On the Value of Target Data in Transfer Learning Steve Hanneke Samory Kpotufe 17 74 0 12 Feb 2020
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 789 0 19 Feb 2009