Keyphrases
Functional Linear Regression
100%
Reproducing Kernel Hilbert Space
67%
Gradient Method
66%
Deep Convolutional Neural Network (deep CNN)
66%
Convolutional Neural Network
58%
Learning Theory
50%
Convergence Rate
50%
Regression Function
50%
Generalization Analysis
50%
Reproducing Kernel
48%
Infinite Dimension
48%
High Probability
41%
Gradient Descent
41%
Early Stopping
41%
Robust Regression
41%
Information Theoretic Learning
41%
Kernel-based
41%
Empirical Risk Minimization
41%
Eigenvalue Decay
40%
Integral Operator
40%
Decay Rate
40%
Functional Data
40%
Data Learning
40%
Weighting Scheme
33%
Online Gradient Descent
33%
Related Topic
33%
Robust Loss
33%
Early Stopping Rules
33%
Scalar Response
33%
Robust Loss Function
33%
Nonparametric Component
33%
Functional Linear Regression Model
33%
Statistical Methods
33%
Spectral Algorithms
33%
Optimal Prediction
33%
Explicit Learning
33%
Prediction Error
33%
Learning Rate
33%
Maximum Correntropy Criterion
33%
Minimization Problem
33%
Scale Parameter
33%
Stable Algorithm
33%
Covariance Function
33%
Estimation Error
33%
Generalization Gap
33%
Functional Predictor
33%
Uniformly Stable
33%
High Probability Bound
33%
Correntropy
33%
Response Variable
33%
Moment Conditions
33%
Functional Data Analysis
33%
Uniform Stability
33%
Generalization Bounds
33%
Optimal Convergence Rate
26%
Deep Learning
25%
Loss Function
25%
Functional Components
22%
Error Analysis
16%
Healthcare
16%
Estimation Task
16%
Precision Medicine
16%
Vector-valued Random Variables
16%
Convolutional Neural Network Algorithm
16%
Structured Deep Learning
16%
Learning Framework
16%
Induced Loss
16%
Value Function
16%
Neural Network
16%
Prediction Task
16%
Weakly Dependent
16%
Strongly Convex
16%
Target Function
16%
Stochastic Gradient Descent
16%
Almost Optimal
16%
Theoretical Understanding
16%
Generalization Behavior
16%
Stability Measures
16%
Combined Information
16%
Sharp Bound
16%
Statistical Learning Theory
16%
Optimization Algorithm
16%
Training Examples
16%
Regression Algorithm
16%
Stability Guarantee
16%
Optimal Bound
16%
Regression Problem
16%
Algorithmic Stability
16%
Concentration Inequalities
16%
Korobov Space
16%
Deep Learning Model
16%
Big Data
16%
Convolutional Structure
16%
Slope Function
15%
Theoretical Properties
15%
Semi-functional Linear Model
11%
Minimax Optimal Rate
11%
Representer Theorem
11%
Algorithm Efficiency
11%
Prediction Approach
11%
Novel Prediction
11%
Penalized Least Squares Method
11%
Minimax Rate
11%
Dose Finding
8%
Optimization Problem
8%
Generalization Ability
8%
Trial Data
8%
Electronic Health Records
8%
Randomized Trial
8%
Weight Classification
8%
Differential Privacy
8%
Fast Learning Rate
8%
Uniform Convergence
8%
Expected Excess
8%
Deep Neural Network
8%
Probabilistic Convergence
8%
Optimal Learning Rate
8%
Vital Data
8%
Data Science
8%
Minimax Optimal
8%
Clinical Outcomes
8%
Classification Algorithms
8%
Learning Scheme
8%
Online Learning
8%
Outcome-based Learning
8%
Non-convex Cost Function
8%
Fast-growing
8%
Application Perspective
8%
Individualized Treatment Rules
8%
Huber Loss Function
8%
Individualized Dosing
8%
Ridge Structure
8%
Pth Moment
8%
Convex Loss Function
8%
Sobolev Spaces
8%
Deep Learning Theory
8%
Neural Network Model
8%
Rectified Linear Unit (ReLU)
8%
Image Recognition
8%
Activation Function
8%
Risk Prediction
8%
Least Squares Loss
8%
Online Learning Algorithm
8%
Bioinformatics
8%
Regression Task
8%
Large-sized
8%
Heavy-tailed Noise
8%
Fully Convolutional Neural Network
8%
Minimax
8%
Natural Language Processing
8%
Generalization Error
8%
Learning Algorithm
8%
Functional Linear Model
8%
Fast Convergence Rate
8%
Filter Function
6%
Machine Learning Problems
6%
Saturation Effect
6%
Covariance Kernel
6%
Regularization Method
6%
Stream Input
6%
Online Classification
6%
General Classification
6%
Mathematics
Hilbert Space
100%
Linear Regression Analysis
100%
Functional Data
83%
Loss Function
72%
Convolutional Neural Network
66%
Minimax
66%
Convergence Rate
64%
Probability Theory
50%
Integral Operator
50%
Eigenvalue
50%
Regression Function
42%
Dimensional Data
41%
Empirical Risk Minimization
38%
Deep Learning Method
38%
Covariance Function
33%
Linear Regression Model
33%
Statistical Method
33%
Error Analysis
33%
Pointwise
33%
Explicit Learning
33%
Stopping Rule
33%
Prediction Error
33%
Moment Condition
33%
Precision Medicine
33%
Response Variable
33%
Minimization Problem
33%
Linear Models
25%
High Probability Bound
22%
Least Square
21%
Robust Regression
21%
Filter Function
16%
Square Method
16%
Randomized Trial
16%
Numerical Analysis
16%
Deep Neural Network
16%
Generality
16%
Regularization
16%
Covariance
16%
Stochastics
11%
Summation
11%
Function Value
11%
Sharp Bound
11%
Fundamental Concept
11%
Random Variable
11%
Optimal Estimate
11%
File Format
11%
Step Size
8%
Artificial Neural Network
8%
Uniform Convergence
8%
Computer Science
Reproducing Kernel
66%
Deep Convolutional Neural Networks
66%
Convergence Rate
66%
Convolutional Neural Network
58%
Precision Medicine
58%
Hilbert Space
50%
Deep Learning Method
41%
Information-Theoretic Learning
41%
Learning Algorithm
41%
Learning Rate
33%
Learning Framework
25%
Clinical Outcome
25%
Gradient Descent
25%
Learning Scheme
16%
Deep Learning Model
16%
Differential Privacy
16%
Generalization Ability
16%
Randomized Trial
16%
Filter Function
16%
Big Data
16%
Target Function
16%
Electronic Learning
16%
Optimization Problem
16%
Individual Characteristic
16%
Classification Algorithm
16%
Collected Data
16%
Deep Neural Network
16%
Artificial Neural Network
16%
Regression Function
16%
Regularization Method
16%
Functional Data
16%
Eigenvalue
16%
Machine Learning
16%
Learning Problem
16%
Learning System
16%
ReLU Function
8%
Fast Convergence
8%
Regression Problem
8%
Bioinformatics
8%
Regression Task
8%
Activation Function
8%
Neural Network Model
8%
Least Squares Method
8%
Heavy Tailed Noise
8%
Risk Minimization
8%
Generalization Error
8%
Natural Language Processing
8%
Classification Framework
8%
Dynamic Nature
8%
Data Type
8%
Data Record
8%
Input/Output
8%
Regularization Term
8%
Data Streaming
8%