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Kaiyi Ji
Kaiyi Ji
Assistant Professor at University at Buffalo
Verified email at buffalo.edu - Homepage
Title
Cited by
Cited by
Year
Bilevel optimization: Convergence analysis and enhanced design
K Ji, J Yang, Y Liang
International conference on machine learning, 4882-4892, 2021
133*2021
Spiderboost and momentum: Faster variance reduction algorithms
Z Wang, K Ji, Y Zhou, Y Liang, V Tarokh
Advances in Neural Information Processing Systems 32, 2019
1332019
Spiderboost: A class of faster variance-reduced algorithms for nonconvex optimization
Z Wang, K Ji, Y Zhou, Y Liang, V Tarokh
arXiv 2018, 2018
842018
Provably faster algorithms for bilevel optimization
J Yang, K Ji, Y Liang
Advances in Neural Information Processing Systems 34, 13670-13682, 2021
712021
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning.
K Ji, J Yang, Y Liang
Journal of Machine Learning Research 23, 29:1-29:41, 2022
61*2022
Improved zeroth-order variance reduced algorithms and analysis for nonconvex optimization
K Ji, Z Wang, Y Zhou, Y Liang
International conference on machine learning, 3100-3109, 2019
522019
Convergence of meta-learning with task-specific adaptation over partial parameters
K Ji, JD Lee, Y Liang, HV Poor
Advances in Neural Information Processing Systems 33, 11490-11500, 2020
442020
Lower bounds and accelerated algorithms for bilevel optimization
K Ji, Y Liang
Journal of Machine Learning Research 23, 1-56, 2022
372022
A new one-point residual-feedback oracle for black-box learning and control
Y Zhang, Y Zhou, K Ji, MM Zavlanos
Automatica 136, 110006, 2022
28*2022
Robust stochastic bandit algorithms under probabilistic unbounded adversarial attack
Z Guan, K Ji, DJ Bucci Jr, TY Hu, J Palombo, M Liston, Y Liang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4036-4043, 2020
242020
When will gradient methods converge to max‐margin classifier under ReLU models?
T Xu, Y Zhou, K Ji, Y Liang
Stat 10 (1), e354, 2021
22*2021
On resource pooling and separation for lru caching
J Tan, G Quan, K Ji, N Shroff
SIGMETRICS 2018 2 (1), 5, 2018
212018
A constrained optimization approach to bilevel optimization with multiple inner minima
D Sow, K Ji, Z Guan, Y Liang
arXiv preprint arXiv:2203.01123, 2022
202022
History-gradient aided batch size adaptation for variance reduced algorithms
K Ji, Z Wang, B Weng, Y Zhou, W Zhang, Y Liang
International Conference on Machine Learning, 4762-4772, 2020
15*2020
Momentum schemes with stochastic variance reduction for nonconvex composite optimization
Y Zhou, Z Wang, K Ji, Y Liang, V Tarokh
arXiv preprint arXiv:1902.02715, 2019
122019
Will bilevel optimizers benefit from loops
K Ji, M Liu, Y Liang, L Ying
arXiv preprint arXiv:2205.14224, 2022
112022
Asymptotic miss ratio of LRU caching with consistent hashing
K Ji, G Quan, J Tan
IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 450-458, 2018
112018
Minimax estimation of neural net distance
K Ji, Y Liang
Advances in Neural Information Processing Systems 31, 2018
112018
Learning latent features with pairwise penalties in matrix completion
K Ji, J Tan, Y Chi, J Xu
IEEE Transactions on Signal Processing, 2020
92020
Bilevel optimization for machine learning: Algorithm design and convergence analysis
K Ji
The Ohio State University, 2021
82021
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