The following pages link to Smooth discrimination analysis (Q1583889):
Displaying 50 items.
- Optimal functional supervised classification with separation condition (Q2174981) (← links)
- Convergence rates for empirical barycenters in metric spaces: curvature, convexity and extendable geodesics (Q2182123) (← links)
- Local nearest neighbour classification with applications to semi-supervised learning (Q2196247) (← links)
- Robust classification via MOM minimization (Q2203337) (← links)
- Deviation inequalities for random polytopes in arbitrary convex bodies (Q2203612) (← links)
- Learning the distribution of latent variables in paired comparison models with round-robin scheduling (Q2203618) (← links)
- ERM and RERM are optimal estimators for regression problems when malicious outliers corrupt the labels (Q2209821) (← links)
- Nonparametric estimation of surface integrals on level sets (Q2214241) (← links)
- Optimal rates for nonparametric F-score binary classification via post-processing (Q2239315) (← links)
- Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions (Q2313281) (← links)
- Nonasymptotic bounds for vector quantization in Hilbert spaces (Q2343956) (← links)
- Minimax fast rates for discriminant analysis with errors in variables (Q2345118) (← links)
- Local Rademacher complexities and oracle inequalities in risk minimization. (2004 IMS Medallion Lecture). (With discussions and rejoinder) (Q2373576) (← links)
- Model selection by bootstrap penalization for classification (Q2384135) (← links)
- Fast learning rates in statistical inference through aggregation (Q2388975) (← links)
- Rates of convergence in active learning (Q2429933) (← links)
- Simultaneous adaptation to the margin and to complexity in classification (Q2456017) (← links)
- Optimal third root asymptotic bounds in the statistical estimation of thresholds (Q2466687) (← links)
- Optimal rates of aggregation in classification under low noise assumption (Q2469663) (← 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)
- Local Rademacher complexities (Q2583411) (← links)
- Classifiers of support vector machine type with \(\ell_1\) complexity regularization (Q2642804) (← links)
- Complex sampling designs: uniform limit theorems and applications (Q2656604) (← links)
- Gibbs posterior concentration rates under sub-exponential type losses (Q2692523) (← links)
- Fast rate of convergence in high-dimensional linear discriminant analysis (Q3021183) (← links)
- Theory of Classification: a Survey of Some Recent Advances (Q3373749) (← links)
- Noisy discriminant analysis with boundary assumptions (Q3455256) (← links)
- (Q4558566) (← links)
- Structured kernel quantile regression (Q4922622) (← links)
- Neyman-Pearson classification: parametrics and sample size requirement (Q4969044) (← links)
- Large‐margin classification with multiple decision rules (Q4970185) (← links)
- (Q4998891) (← links)
- (Q4999101) (← links)
- Rejoinder: New Objectives for Policy Learning (Q4999146) (← links)
- (Q5053241) (← links)
- (Q5053288) (← links)
- Smooth Contextual Bandits: Bridging the Parametric and Nondifferentiable Regret Regimes (Q5060501) (← links)
- Intrinsic Dimension Adaptive Partitioning for Kernel Methods (Q5089718) (← links)
- An adaptive multiclass nearest neighbor classifier (Q5110210) (← links)
- (Q5149262) (← links)
- (Q5159423) (← links)
- (Q5381119) (← links)
- Variance-based regularization with convex objectives (Q5381122) (← links)
- (Q5381137) (← links)
- Rates of Convergence for a Bayesian Level Set Estimation (Q5467713) (← links)
- (Q5879931) (← links)
- Adaptation to lowest density regions with application to support recovery (Q5963522) (← links)
- Randomized allocation with arm elimination in a bandit problem with covariates (Q5965323) (← links)
- Fast convergence rates of deep neural networks for classification (Q6078714) (← links)
