Yong Liu
Tytuł
Cytowane przez
Cytowane przez
Rok
Efficient approximation of cross-validation for kernel methods using Bouligand influence function
Y Liu, S Jiang, S Liao
International Conference on Machine Learning, 324-332, 2014
492014
Multi-Class Learning: From Theory to Algorithm
J Li, Y Liu*, R Yin, H Zhang, L Ding, W Wang
Advances in Neural Information Processing Systems 31 (NIPS), 2018
302018
Infinite kernel learning: generalization bounds and algorithms
Y Liu, S Liao, H Lin, Y Yue, W Wang
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
232017
Eigenvalues ratio for kernel selection of kernel methods
Y Liu, S Liao
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
232015
Learning kernels with upper bounds of leave-one-out error
Y Liu, S Liao, Y Hou
Proceedings of the 20th ACM International Conference on Information and …, 2011
232011
Fast Cross-Validation for Kernel-based Algorithms
Y Liu, S Liao, S Jiang, L Ding, H Lin, W Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (5), 1083-1096, 2020
212020
Granularity selection for cross-validation of SVM
Y Liu, S Liao
Information Sciences 378, 475-483, 2017
212017
Fast Cross-Validation.
Y Liu, H Lin, L Ding, W Wang, S Liao
IJCAI, 2497-2503, 2018
172018
Eigenvalues perturbation of integral operator for kernel selection
Y Liu, S Jiang, S Liao
Proceedings of the 22nd ACM international conference on Information …, 2013
172013
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm
J Li, Y Liu*, R Yin, W Wang
Proceedings of the 28th International Joint Conference on Artificial …, 2019
152019
Preventing over-fitting of cross-validation with kernel stability
Y Liu, S Liao
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
152014
Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices
LZ Ding, S Liao, Y Liu, P Yang, X Gao
Proceedings of the 26th International Joint Conference on Artificial …, 2018
142018
Learning Structural Representations via Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval
H Zhang, P She, Y Liu, X Cao, H Foroosh
IEEE Transactions on Image Processing, 2019
132019
Learning Structural Representations via Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval
H Zhang, P She, Y Liu, X Cao, H Foroosh
IEEE Transactions on Image Processing, 2019
132019
Approximate Kernel Selection via Matrix Approximation
L Ding, S Liao, Y Liu, L Liu, F Zhu, Y Yao, L Shao, X Gao
IEEE Transactions on Neural Networks and Learning Systems, 2020
102020
Kernel selection with spectral perturbation stability of kernel matrix
Y Liu, SZ Liao
Science China Information Sciences 57 (11), 1-10, 2014
102014
Divide-and-conquer learning with nyström: Optimal rate and algorithm
R Yin, Y Liu, L Lu, W Wang, D Meng
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6696-6703, 2020
62020
Automated spectral kernel learning
J Li, Y Liu, W Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4618-4625, 2020
62020
Approximate Kernel Selection with Strong Approximate Consistency
L Ding, Y Liu, S Liao, P Yang, Y Li, Y Pan, C Huang, L Shao, X Gao
Proceedings of the 33th International Joint Conference on Artificial …, 2019
62019
Weighted distributed differential privacy ERM: Convex and Non-convex
Y Kang, Y Liu, B Niu, W Wang
Computers & Security, 2021
52021
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