Keyphrases
Importance Sampling
100%
Enhancement Mechanism
100%
Differentially Private Stochastic Gradient Descent
100%
Stochastic Gradient Descent
63%
Drop-in Replacement
9%
Utility Model
9%
Novel Mechanism Design
9%
Private Settings
9%
Gradient Computation
9%
Model Driven Architecture
9%
IMDb
9%
Sample Variance
9%
Adaptive Gradient Clipping
9%
Schedule Model
9%
Analysis Efficiency
9%
Batch Selection
9%
Hyperparameter Tuning
9%
CIFAR-10
9%
Mini
9%
Privacy Analysis
9%
Gradient Descent Training
9%
Chemical Engineering
Learning System
100%
Deep Neural Network
66%
Deep Learning
66%
Recurrent Neural Network
33%
Mathematics
Importance Sampling
100%
Training Process
10%
Random Noise
10%
Sampling Variance
10%
Computer Science
Importance Sampling
100%
Model Architecture
9%
Gradient Computation
9%
Private Version
9%
Engineering
Injected Noise
10%
Fundamental Barrier
10%