Publications
* indicates equal contribution
** indicates corresponding author
Continual Learning/Machine Unlearning
Multi-Objective/Task Learning
Bilevel Optimization: Theory and Applications
(New!) Imperative Learning: A Self-supervised Neural-Symbolic Learning Framework for Robot Autonomy <Open-Source Library> Chen Wang, Kaiyi Ji, Junyi Geng, Zhongqiang Ren, Taimeng Fu, Fan Yang, Yifan Guo, Haonan He, Xiangyu Chen, Zitong Zhan, Qiwei Du, Shaoshu Su, Bowen Li, Yuheng Qiu, Yi Du, Qihang Li, Yifan Yang, Xiao Lin, Zhipeng Zhao. arXiv:2406.16087, 2024.
(New!) First-Order Minimax Bilevel Optimization. Yifan Yang, Zhaofeng Si, Siwei Lyu, Kaiyi Ji** Conference on Neural Information Processing Systems (NeurIPS) 2024
Distributed Learning over Networks
On Resource Pooling and Separation for LRU Caching Jian Tan, Guocong Quan, Kaiyi Ji, Ness Shroff Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2018
Stochastic Optimization and Control
A New One-Point Residual-Feedback Oracle For Black-Box Learning and Control Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos Automatica 2021.
Statistical Learning Theory
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