187 results on '"Shizhong Liao"'
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2. Complex Transmission Eigenvalues in One Dimension
3. Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis.
4. Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression.
5. Improved Kernel Alignment Regret Bound for Online Kernel Learning.
6. Theoretical analysis of divide-and-conquer ERM: From the perspective of multi-view.
7. Improved Regret Bounds for Online Kernel Selection Under Bandit Feedback.
8. Worst-case regret analysis of computationally budgeted online kernel selection.
9. Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound.
10. Improved Regret Bounds for Online Kernel Selection under Bandit Feedback.
11. High-Probability Kernel Alignment Regret Bounds for Online Kernel Selection.
12. Regret Bounds for Online Kernel Selection in Continuous Kernel Space.
13. A Kernel Perspective for the Decision Boundary of Deep Neural Networks.
14. A New Learning Algorithm with General Loss for Neural Networks with Random Weights.
15. Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space.
16. Kernel Stability for Model Selection in Kernel-Based Algorithms.
17. Learning Sparse Support Vector Machine with Relaxation and Rounding.
18. Online Kernel Selection via Grouped Adversarial Bandit Model.
19. New Online Kernel Ridge Regression via Incremental Predictive Sampling.
20. Online Kernel Selection via Tensor Sketching.
21. Incremental Randomized Sketching for Online Kernel Learning.
22. Approximate Kernel Selection with Strong Approximate Consistency.
23. Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data.
24. Fast Cross-Validation for Kernel-Based Algorithms.
25. Approximate Kernel Selection via Matrix Approximation.
26. Improved Kernel Alignment Regret Bound for Online Kernel Learning.
27. Fast Cross-Validation.
28. Online Kernel Selection via Incremental Sketched Kernel Alignment.
29. An Online Kernel Selection Wrapper via Multi-Armed Bandit Model.
30. A Linear Incremental Nyström Method for Online Kernel Learning.
31. Improved Sublinear Primal-Dual Algorithm for Support Vector Machines.
32. Online Kernel Selection with Multiple Bandit Feedbacks in Random Feature Space.
33. Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices.
34. 在线核选择的对抗式多臂赌博机模型 (Adversarial Multi-armed Bandit Model with Online Kernel Selection).
35. Stochastic Online Kernel Selection with Instantaneous Loss in Random Feature Space.
36. Infinite Kernel Learning: Generalization Bounds and Algorithms.
37. Generalization Analysis for Ranking Using Integral Operator.
38. CP-nets学习的复杂度 (Complexity of CP-nets Learning).
39. SVRRPMCC: 一种支持向量回归机的正则化路径近似算法 (SVRRPMCC: A Regularization Path Approximation Algorithm of Support Vector Regression).
40. Scalable Gaussian Kernel Support Vector Machines with Sublinear Training Time Complexity.
41. Granularity selection for cross-validation of SVM.
42. An Approximate Approach to Automatic Kernel Selection.
43. Predictive Nyström method for kernel methods.
44. A survey on online kernel selection for online kernel learning.
45. Boosting via Approaching Optimal Margin Distribution.
46. Random Feature Mapping with Signed Circulant Matrix Projection.
47. Accuracy-Preserving and Scalable Column-Based Low-Rank Matrix Approximation.
48. Parallel Column Subset Selection of Kernel Matrix for Scaling up Support Vector Machines.
49. Eigenvalues Ratio for Kernel Selection of Kernel Methods.
50. Tensor completion via multi-shared-modes canonical correlation analysis.
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