Keyphrases
Oracle
61%
Gradient Descent
59%
Stationary Point
56%
Lipschitz
49%
First-order Methods
44%
Nonconvex Stochastic Optimization
33%
Second-order Methods
33%
Matrix Game
33%
Stochastic Convex Optimization
32%
Nonconvex Functions
29%
Information Estimation
29%
Stochastic Gradient
26%
Signal-to-noise Ratio
26%
Minimum Mean Square Error
26%
Acceleration Techniques
25%
Convergence Rate
24%
Parameter-free
22%
Distributionally Robust Optimization
22%
Second-order Information
22%
Optimization Power
22%
Krylov Subspace
22%
Multiplicative Weights
22%
Representable
22%
Markov Decision Process
22%
Intersymbol Interference Channels
22%
Convex Optimization
22%
Accelerated Gradient Method
21%
Gradient Estimator
20%
Second-order Stationary Point
20%
Achievable Rate
18%
Sample Complexity
18%
Gradient Evaluation
18%
ImageNet
18%
Gaussian Channel
17%
Nonconvex
17%
Additive White Gaussian Noise
17%
Stationary Policy
16%
Discounted Cost
16%
Convergence Guarantee
16%
Newton Step
16%
Oracle Complexity
16%
Existence of Optimal Policies
16%
Discount Function
16%
Dimension-free
16%
Variance Reduction
16%
Acceleration Framework
16%
Near-optimal
16%
Complexity Bounds
16%
Ornstein-Uhlenbeck Process
14%
Mutual Information Rate
14%
Mathematics
Stochastics
100%
Stationary Point
59%
Approximates
48%
Gaussian Distribution
47%
Noise Ratio
33%
Matrix Game
33%
Convex Function
31%
Variance
26%
Smooth Function
26%
Squared Error
26%
Convergence Rate
24%
Trust Region
22%
Free Parameter
22%
Mutual Information
20%
Continuous Time
18%
Matrix (Mathematics)
16%
Stationary Policy
16%
Step Newton
16%
Counterexample
16%
Simplex
16%
Subproblem
16%
Markov Decision Process
16%
Optimal Policy
16%
Step Size
16%
Ornstein Uhlenbeck Process
14%
Data Structure
14%
Newton's Method
14%
Loss Function
12%
Lower and upper bounds
11%
Statistical Significance
11%
Softmax Function
11%
Approximate Solution
11%
Mean Square Error
11%
Partial Matching
11%
Conditional Value At Risk
11%
Gradient Flow
11%
Error Bound
11%
Pulse Amplitude
11%
Variance Reduction
11%
Decision Model
11%
Refines
11%
Minimizes
11%
Finite Sum
11%
Lipschitz Function
11%
Invariance Property
11%
Worst Case
10%
Regularization
9%
Saddle Point
9%
Algorithm Analysis
9%
Linear Programming
9%
Computer Science
Convex Optimization
44%
Noise-to-Signal Ratio
35%
Continuous Time
26%
Multiplicative Weight
22%
Model Architecture
22%
Machine Learning
22%
Achievable Rate
18%
Mutual Information Rate
18%
Gaussian Channel
17%
Gaussian White Noise
17%
Approximation (Algorithm)
16%
Simplex
16%
Additive White Gaussian Noise
14%
Intersymbol Interference
14%
Validation Set
11%
New-State
11%
Processing Task
11%
Optimization Problem
11%
Inverse Document Frequency
11%
Distributionally Robust Optimization
11%
Multicriteria Optimization
11%
Pose Estimation
11%
Orthogonal Frequency Division Multiplexing
11%
Search Engine
11%
Image Classification
11%
Markov Process
11%
Discriminative Power
11%
Markov Decision Process
11%
single carrier
11%
Learning Ecosystem
11%
Variance Reduction
11%
Computer Vision
11%
Model Accuracy
11%
Data Model
11%
Gradient Method
11%
Semisupervised Learning
11%
Domain Adaptation
11%
Individual Model
11%
Primal-Dual
11%
Natural Language Processing
11%
Implicit Equation
11%
Shape Analysis
11%
Decision Model
11%
Language Understanding
11%
Pattern Recognition
11%
Information Rate
11%
Gradient Descent
11%
Gaussian Input
11%
Unlabeled Data
11%
Data Source
11%
