Keyphrases
Convex Optimization Problem
58%
Feature Sparsity
50%
LassoNet
50%
Stochastic Optimization
50%
High-dimensional Statistics
50%
Neural Network
50%
First-order
50%
Phase Retrieval Problem
50%
Least Absolute Shrinkage and Selection Operator (LASSO)
39%
Prox-linear Algorithm
37%
Convex Function
37%
Convergence Rate
37%
Feature Selection
37%
Smooth Function
37%
Regularization Path
33%
Complexity Measures
33%
Linearized Bregman
31%
Inverse Scale Space
27%
Resource Constraints
25%
Bregman Algorithm
25%
Developing Theory
25%
Decentralized Matching
25%
Noisy Function
25%
Local Algorithms
25%
Statistical Learning
25%
Gradient Evaluation
25%
Robust Phase Retrieval
25%
Machine Learning
25%
Subgradient
25%
Log-log
25%
Minimax Lower Bound
25%
Parallel Observations
25%
Weakly Convex Optimization
25%
Composite Convex Optimization
25%
Lipschitz
25%
Convex Optimization Algorithm
25%
Generalized Subgradient
25%
Statistical Model
25%
Convex Optimization
25%
Nonsmooth Convex Functions
25%
Information Divergence
25%
Strongly Convex Function
25%
Zeroth-order
25%
Bandit Learning
25%
Fisher Information
25%
Sparse Recovery
25%
Risk Inequalities
25%
Nonsmooth
25%
Weak Convexity
25%
Solution Path
25%
Mathematics
Stochastics
100%
Minimax
87%
Optimality
62%
Regularization
41%
Convex Function
41%
Probability Theory
33%
Asymptotics
25%
High-Dimensional Statistics
25%
Differential Inclusion
25%
Classification Problem
25%
Fisher Information
25%
Schwartz Inequality
25%
Upper Bound
25%
Apply It
25%
Linear Regression Analysis
25%
Discretization
16%
Loss Function
16%
Applied Mathematics
16%
Statistics
16%
Smooth Function
16%
Constant Factor
12%
Convex Problem
12%
Main Result
12%
Classical Statistic
12%
Hellinger Distance
12%
Worst Case
12%
Lower and upper bounds
12%
Total Variation Distance
12%
Log Likelihood Ratio
12%
Total Variation
12%
Error Bound
8%
Consistent Point
8%
Thresholding
8%
Hypothesis Testing Problem
8%
Outcome Space
8%
Information Measure
8%
Stopping Rule
8%
Scale Problem
8%
Logistic Regression
8%
Gaussian Distribution
8%
Null
8%
Graphical Model
8%
Design Experiment
8%
Functionals
7%
Computer Science
Sparsity
50%
Neural Network
50%
Feature Selection
40%
Feature Extraction
40%
Stochastic Optimization
25%
Data Discovery
25%
Local Algorithm
25%
Resource Constraint
25%
Complexity Measure
25%
Fisher Information
25%
Human Experience
25%
Global Audience
25%
User Data
25%
Priori Knowledge
25%
Machine Learning
25%
Learning System
25%
Information Retrieval
25%
Statistical Estimation
25%
Differential Privacy
17%
Learning Problem
12%
Problem Instance
12%
Global Feature
10%
Proximal Gradient Descent
10%
Learning Parameter
10%
Lines of Code
10%
Regularization
10%
Objective Function
10%
Total Variation
10%
Convex Function
8%
Constant Factor
8%
Simulated Data
5%
Likelihood Ratio
5%
Approximation (Algorithm)
5%
