Learning Functions Varying along a Central Subspace

Mathematics

• Variance 100%
• Polynomial 50%
• Numerical Experiment 50%
• Dimensional Space 50%
• Open Question 50%
• Convergence Rate 50%
• Ambient Space 50%
• Approximation Function 50%
• Dimensional Structure 50%
• Regression Error 50%
• Mean Squared Error Estimation 50%

Keyphrases

• Learning Function 100%
• Central Subspace 100%
• Contour Regression 71%
• Estimation Error 28%
• Numerical Experiments 14%
• Convergence Rate 14%
• High-dimensional Space 14%
• Ambient Space 14%
• Efficiency Improvement 14%
• Sampling numbers 14%
• Log 2 14%
• Function Approximation 14%
• Regression Algorithm 14%
• Piecewise Polynomial 14%
• Low-dimensional Structures 14%
• Regression Error 14%
• Sample Complexity 14%
• Direct Approximation 14%