DEEP NEURAL NETWORKS FOR NONPARAMETRIC INTERACTION MODELS WITH DIVERGING DIMENSION

Keyphrases

• Interaction Model 100%
• Nonparametric 100%
• Diverging Dimension 100%
• Deep Neural Network 100%
• High-dimensional Data 66%
• Covariance 66%
• Mean Square Error 66%
• Additive Components 66%
• Debiasing Techniques 66%
• Regression Function 33%
• Convergence Rate 33%
• Order of Magnitude 33%
• Statistical Properties 33%
• Proof Techniques 33%
• Big Data 33%
• Adaptation 33%
• Optimal Convergence Rate 33%
• Error Calculation 33%
• Sparsity Assumption 33%
• Increasing Dimension 33%
• Representational Power 33%
• Debiasing 33%
• Low-dimensional Structures 33%
• Minimax Optimal Rate 33%
• Structured Regression 33%
• Input Dimension 33%

Mathematics

• Deep Neural Network 100%
• Covariance 66%
• Mean Square Error 66%
• Regression Function 33%
• Regularization 33%
• Variance 33%
• Statistical Property 33%
• Higher Dimensions 33%
• Minimax 33%
• Convergence Rate 33%
• Dimensional Structure 33%
• Rate of Convergence 33%
• Big Data 33%