Pages that link to "Item:Q633112"

The following pages link to Pegasos: primal estimated sub-gradient solver for SVM (Q633112):

Displaying 23 items.

• (Q5214210) (← links)
• Convergence Rates for Deterministic and Stochastic Subgradient Methods without Lipschitz Continuity (Q5231668) (← links)
• Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity (Q5233106) (← links)
• Training a Support Vector Machine in the Primal (Q5294324) (← links)
• Large-Scale Linear RankSVM (Q5378345) (← links)
• Stochastic proximal linear method for structured non-convex problems (Q5858986) (← links)
• Nonlinear optimization and support vector machines (Q5915690) (← links)
• Nonlinear optimization and support vector machines (Q5918754) (← links)
• On coresets for support vector machines (Q5919115) (← links)
• Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization (Q5962715) (← links)
• A deterministic rescaled perceptron algorithm (Q5962726) (← links)
• Semi-discrete optimal transport: hardness, regularization and numerical solution (Q6038666) (← links)
• Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation (Q6079131) (← links)
• Stochastic approximation with discontinuous dynamics, differential inclusions, and applications (Q6103982) (← links)
• Robust echo state network with sparse online learning (Q6118638) (← links)
• Optimal Convergence Rates for the Proximal Bundle Method (Q6155876) (← links)
• Block mirror stochastic gradient method for stochastic optimization (Q6158991) (← links)
• Nested cross-validation with ensemble feature selection and classification model for high-dimensional biological data (Q6171282) (← links)
• Adaptive proximal SGD based on new estimating sequences for sparser ERM (Q6196471) (← links)
• Random-reshuffled SARAH does not need full gradient computations (Q6204201) (← links)
• Best subset selection for high-dimensional non-smooth models using iterative hard thresholding (Q6494641) (← links)
• Constraint learning: an appetizer (Q6535988) (← links)
• The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning (Q6601525) (← links)