Pages that link to "Item:Q1884608"

The following pages link to Optimal aggregation of classifiers in statistical learning. (Q1884608):

Displaying 50 items.

• Optimal rates of aggregation in classification under low noise assumption (Q2469663) (← links)
• Estimation of regression contour clusters -- an application of the excess mass approach to regression (Q2485989) (← links)
• Concentration inequalities and asymptotic results for ratio type empirical processes (Q2497173) (← links)
• Approximation with polynomial kernels and SVM classifiers (Q2498387) (← links)
• Bandwidth selection in kernel empirical risk minimization via the gradient (Q2515491) (← links)
• Square root penalty: Adaption to the margin in classification and in edge estimation (Q2569239) (← links)
• Classifiers of support vector machine type with \(\ell_1\) complexity regularization (Q2642804) (← links)
• Transfer learning for nonparametric classification: minimax rate and adaptive classifier (Q2656589) (← links)
• Complex sampling designs: uniform limit theorems and applications (Q2656604) (← links)
• Gibbs posterior concentration rates under sub-exponential type losses (Q2692523) (← links)
• Measuring the Capacity of Sets of Functions in the Analysis of ERM (Q2805728) (← links)
• Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers (Q2948481) (← links)
• Fast rate of convergence in high-dimensional linear discriminant analysis (Q3021183) (← links)
• On the Optimality of Sample-Based Estimates of the Expectation of the Empirical Minimizer (Q3085585) (← links)
• Online regularized generalized gradient classification algorithms (Q3110496) (← links)
• Large-Scale Machine Learning with Stochastic Gradient Descent (Q3298463) (← links)
• Theory of Classification: a Survey of Some Recent Advances (Q3373749) (← links)
• Noisy discriminant analysis with boundary assumptions (Q3455256) (← links)
• Minimum clinically important difference in medical studies (Q3465716) (← links)
• ANALYSIS OF CLASSIFICATION WITH A REJECT OPTION (Q3636488) (← links)
• Adaptive Estimation of the Optimal ROC Curve and a Bipartite Ranking Algorithm (Q3648754) (← links)
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• Confidence sets with expected sizes for Multiclass Classification (Q4637018) (← links)
• Optimization Methods for Large-Scale Machine Learning (Q4641709) (← links)
• Estimating Individualized Treatment Rules Using Outcome Weighted Learning (Q4648555) (← links)
• SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming (Q4678449) (← links)
• The Nonstochastic Multiarmed Bandit Problem (Q4785631) (← links)
• On boundary estimation (Q4819485) (← links)
• On Reject and Refine Options in Multicategory Classification (Q4962439) (← links)
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• Nonparametric Pricing Analytics with Customer Covariates (Q5003728) (← links)
• Comparison theorems on large-margin learning (Q5022946) (← links)
• Crowdsourcing label quality: a theoretical analysis (Q5046485) (← links)
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• (Q5053288) (← links)
• Smooth Contextual Bandits: Bridging the Parametric and Nondifferentiable Regret Regimes (Q5060501) (← links)
• Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications (Q5060788) (← links)
• Intrinsic Dimension Adaptive Partitioning for Kernel Methods (Q5089718) (← links)
• Benefit of Interpolation in Nearest Neighbor Algorithms (Q5089734) (← links)
• Classification with minimum ambiguity under distribution heterogeneity (Q5107454) (← links)
• A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects (Q5120658) (← links)
• Online Decision Making with High-Dimensional Covariates (Q5130496) (← links)
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• (Q5159423) (← links)