Logistic regression: Tight bounds for stochastic and online optimization

Keyphrases

• Logistic Regression 100%
• Tight Bounds 100%
• Online Optimization 100%
• Stochastic Optimization 100%
• Logistic Loss 100%
• Hinge Loss 66%
• Decision Set 33%
• Strictly Convex 33%
• Machine Learning 33%
• Bounded below 33%
• Loss Function 33%
• Convergence Rate 33%
• Subexponential 33%
• Tight Upper Bound 33%
• 0-1 Loss 33%
• Asymptotic Bounds 33%
• Prediction Optimization 33%
• McMahan 33%
• Convexity Properties 33%
• Non-convex Surrogate 33%
• Non-smooth Loss Function 33%
• Optimization Iteration 33%
• Logistics Optimization 33%
• Stochastic Logistic 33%

Mathematics

• Stochastics 100%
• Logistic Regression 100%
• Loss Function 100%
• Polynomial 50%
• Upper Bound 50%
• Asymptotics 50%
• Statistics 50%
• Open Problem 50%
• Convergence Rate 50%
• Strictly Convex 50%