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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
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
1082019
Bilevel optimization: Convergence analysis and enhanced design
K Ji, J Yang, Y Liang
International Conference on Machine Learning, 4882-4892, 2021
81*2021
Spiderboost: A class of faster variance-reduced algorithms for nonconvex optimization
Z Wang, K Ji, Y Zhou, Y Liang, V Tarokh
arXiv 2018, 2018
792018
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning.
K Ji, J Yang, Y Liang
J. Mach. Learn. Res. 23, 29:1-29:41, 2022
49*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
462019
Provably faster algorithms for bilevel optimization
J Yang, K Ji, Y Liang
Advances in Neural Information Processing Systems 34, 13670-13682, 2021
392021
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
302020
Lower bounds and accelerated algorithms for bilevel optimization
K Ji, Y Liang
arXiv preprint arXiv:2102.03926, 2021
212021
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
20*2022
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
19*2021
On resource pooling and separation for lru caching
J Tan, G Quan, K Ji, N Shroff
SIGMETRICS 2018 2 (1), 5, 2018
182018
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
14*2020
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
142020
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
Learning latent features with pairwise penalties in matrix completion
K Ji, J Tan, Y Chi, J Xu
IEEE Transactions on Signal Processing, 2020
92020
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
92018
Minimax estimation of neural net distance
K Ji, Y Liang
Advances in Neural Information Processing Systems 31, 2018
92018
LRU caching with dependent competing requests
G Quan, K Ji, J Tan
IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 459-467, 2018
82018
Boosting one-point derivative-free online optimization via residual feedback
Y Zhang, Y Zhou, K Ji, MM Zavlanos
arXiv preprint arXiv:2010.07378, 2020
62020
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
52022
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