Fetching the paper…
Reading the bibliography…
Users of a recommender system may want part of their data being deleted, not only from the data repository but also from the underlying machine learning model, for privacy or utility reasons.
Machine Unlearning. In IEEE Symposium on Security and Privacy . 141–159
Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot. 2021 · 1912
Earlier work this paper cites.
Convergence of Alternating Optimization
James C. Bezdek and Richard J. Hathaway. 2003 · 2003
Earlier work this paper cites.
Differential Privacy. In International Colloquium on Automata, Languages, and Programming . Springer, 1–12
Cynthia Dwork. 2006 · 2006
Earlier work this paper cites.
Yunhong Zhou, Dennis Wilkinson, Robert Schreiber, and Rong Pan. 2008 · 2008
Earlier work this paper cites.
Matrix Factorization Techniques for Recommender Systems
Yehuda Koren, Robert Bell, and Chris Volinsky. 2009 · 2009
Earlier work this paper cites.
Deep Learning via Hessian-Free Optimization. In Proceedings of the 27th International Conference on Machine Learning . Omnipress, Haifa, Israel, 735–742
James Martens. 2010 · 2010
Earlier work this paper cites.
A Similarity Measure for Indefinite Rankings
William Webber, Alistair Moffat, and Justin Zobel. 2010 · 2010
Earlier work this paper cites.
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, and Ji-Rong Wen. 2020 · 2011
Earlier work this paper cites.
Incremental and Decremental Training for Linear Classification. In Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ’14) . Association for Computing Machinery, New York, NY, USA, 343–352
Cheng-Hao Tsai, Chieh-Yen Lin, and Chih-Jen Lin. 2014 · 2014
Earlier work this paper cites.
Towards Making Systems Forget with Machine Unlearning
Yinzhi Cao and Junfeng Yang. 2015 · 2015
Cited alongside, same era.
Neural Collaborative Filtering. In Proceedings of the 26th International Conference on World Wide Web (WWW ’17) . International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE, 173–182
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua. 2017 · 2017
Cited alongside, same era.
Understanding Black-Box Predictions via Influence Functions. In Proceedings of the 34th International Conference on Machine Learning . PMLR, 1885–1894
Pang Wei Koh and Percy Liang. 2017 · 2017
Cited alongside, same era.
Decoupled Weight Decay Regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
Cited alongside, same era.
Efficient Neural Matrix Factorization without Sampling for Recommendation
Chong Chen, Min Zhang, Yongfeng Zhang, Yiqun Liu, and Shaoping Ma. 2020 · 2020
DeltaGrad: Rapid Retraining of Machine Learning Models. In Proceedings of the 37th International Conference on Machine Learning . PMLR, 10355–10366
Yinjun Wu, Edgar Dobriban, and Susan Davidson. 2020 · 2020
Later among the works it cites.
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, and Yang Zhang. 2021 · 2021
Later among the works it cites.
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks
Yingzhe He, Guozhu Meng, Kai Chen, Jinwen He, and Xingbo Hu. 2021 · 2021
Later among the works it cites.
Certifiable Machine Unlearning for Linear Models
Ananth Mahadevan and Michael Mathioudakis. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 9304–9312
Aditya Golatkar, Alessandro Achille, and Stefano Soatto. 2020 · 2020
Cited alongside, same era.
Certified Data Removal from Machine Learning Models. In Proceedings of the 37th International Conference on Machine Learning . PMLR, 3832–3842
Chuan Guo, Tom Goldstein, Awni Hannun, and Laurens Van Der Maaten. 2020 · 2020
Cited alongside, same era.
“Amnesia” — A Selection of Machine Learning Models That Can Forget User Data Very Fast. In CIDR
Sebastian Schelter. 2020 · 2020
Cited alongside, same era.
Membership Inference Attacks Against Recommender Systems. In Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security (CCS ’21) . Association for Computing Machinery, New York, NY, USA, 864–879
Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhunmin Chen, Pengfei Hu, and Yang Zhang. 2021 · 2021
Later among the works it cites.
Chong Chen, Fei Sun, Min Zhang, and Bolin Ding. 2022 · 2022
Closest in time.
KuaiRec: A Fully-Observed Dataset for Recommender Systems
Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, and Tat-Seng Chua. 2022 · 2022
Closest in time.
Counterfactually Evaluating Explanations in Recommender Systems
Yuanshun Yao, Chong Wang, and Hang Li. 2022 · 2022
Closest in time.