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Online Forgetting Process for Linear Regression Models

Online Forgetting Process for Linear Regression Models

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
3 December 2020
Yuantong Li
ChiHua Wang
Guang Cheng
    MUKELM
ArXiv (abs)PDFHTML

Papers citing "Online Forgetting Process for Linear Regression Models"

19 / 19 papers shown
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
Anvit Garg
Sohom Bhattacharya
Pragya Sur
193
3
0
26 Sep 2025
Efficient Knowledge Graph Unlearning with Zeroth-order Information
Efficient Knowledge Graph Unlearning with Zeroth-order Information
Yang Xiao
Ruimeng Ye
Bohan Liu
Xiaolong Ma
Bo Hui
MU
237
1
0
19 Aug 2025
The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models
The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models
Yang Xiao
Gen Li
Jie Ji
Ruimeng Ye
Xiaolong Ma
Bo Hui
MU
341
3
0
24 Jul 2025
Machine Unlearning for Streaming Forgetting
Machine Unlearning for Streaming Forgetting
Shaofei Shen
Chenhao Zhang
Yawen Zhao
Alina Bialkowski
Weitong Chen
Miao Xu
MU
191
0
0
21 Jul 2025
PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks
PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks
Xuzhao Li
Jingyi Wang
Xiaohan Yuan
Peixin Zhang
AAMLMU
437
0
0
10 May 2025
GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction
GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction
Tung Sum Thomas Kwok
Chi-Hua Wang
Guang Cheng
LMTD
391
4
0
19 Mar 2025
A General Framework to Enhance Fine-tuning-based LLM Unlearning
A General Framework to Enhance Fine-tuning-based LLM UnlearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
J. Ren
Zhenwei Dai
Xianfeng Tang
Hui Liu
Jingying Zeng
...
R. Goutam
Suhang Wang
Yue Xing
Qi He
Hui Liu
MU
575
10
0
25 Feb 2025
DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in
  Data Clean Room
DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room
Tung Sum Thomas Kwok
Chi-Hua Wang
Guang Cheng
SyDa
375
2
0
31 Oct 2024
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models
Jie Ren
Kangrui Chen
Yingqian Cui
Shenglai Zeng
Hui Liu
Yue Xing
Shucheng Zhou
Lingjuan Lyu
511
3
0
21 Jun 2024
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying
  in Tabular Generative Models
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models
Joshua Ward
Chi-Hua Wang
Guang Cheng
316
13
0
18 Jun 2024
GENIU: A Restricted Data Access Unlearning for Imbalanced Data
GENIU: A Restricted Data Access Unlearning for Imbalanced Data
Chenhao Zhang
Shaofei Shen
Yawen Zhao
Weitong Tony Chen
Miao Xu
MU
215
8
0
12 Jun 2024
Dynamic Online Recommendation for Two-Sided Market with Bayesian
  Incentive Compatibility
Dynamic Online Recommendation for Two-Sided Market with Bayesian Incentive Compatibility
Yuantong Li
Guang Cheng
Xiaowu Dai
238
1
0
04 Jun 2024
Machine Unlearning: A Comprehensive Survey
Machine Unlearning: A Comprehensive Survey
Weiqi Wang
Zhiyi Tian
Chenhan Zhang
Shui Yu
MUAILaw
331
44
0
13 May 2024
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense
  of Privacy
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
Jamie Hayes
Ilia Shumailov
Eleni Triantafillou
Amr Khalifa
Nicolas Papernot
MU
438
71
0
02 Mar 2024
SIFU: Sequential Informed Federated Unlearning for Efficient and
  Provable Client Unlearning in Federated Optimization
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yann Fraboni
Martin Van Waerebeke
Kevin Scaman
Richard Vidal
Laetitia Kameni
Marco Lorenzi
FedMLMU
414
29
0
21 Nov 2022
Deep Regression Unlearning
Deep Regression UnlearningInternational Conference on Machine Learning (ICML), 2022
Ayush K Tarun
Vikram S Chundawat
Murari Mandal
Mohan S. Kankanhalli
BDLMU
253
50
0
15 Oct 2022
Federated Online Sparse Decision Making
ChiHua Wang
Wenjie Li
Guang Cheng
Guang Lin
FedML
344
4
0
27 Feb 2022
Residual Bootstrap Exploration for Stochastic Linear Bandit
Residual Bootstrap Exploration for Stochastic Linear BanditConference on Uncertainty in Artificial Intelligence (UAI), 2022
Shuang Wu
ChiHua Wang
Yuantong Li
Guang Cheng
285
9
0
23 Feb 2022
Optimum-statistical Collaboration Towards General and Efficient
  Black-box Optimization
Optimum-statistical Collaboration Towards General and Efficient Black-box Optimization
Wenjie Li
ChiHua Wang
Guang Cheng
Qifan Song
516
9
0
17 Jun 2021
1
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