Pages that link to "Item:Q5959937"
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The following pages link to Model selection and error estimation (Q5959937):
Displaying 50 items.
- The two-sample problem for Poisson processes: adaptive tests with a nonasymptotic wild bootstrap approach (Q366986) (← links)
- Model selection in reinforcement learning (Q415618) (← links)
- An improved analysis of the Rademacher data-dependent bound using its self bounding property (Q459446) (← links)
- Generalization ability of fractional polynomial models (Q461189) (← links)
- Double-fold localized multiple matrixized learning machine (Q527144) (← links)
- Adaptive estimation of a distribution function and its density in sup-norm loss by wavelet and spline projections (Q627291) (← links)
- An empirical study of the complexity and randomness of prediction error sequences (Q718610) (← links)
- A high-dimensional Wilks phenomenon (Q718891) (← links)
- Generalized mirror averaging and \(D\)-convex aggregation (Q734528) (← links)
- Complexity of hyperconcepts (Q860806) (← links)
- Bootstrap model selection for possibly dependent and heterogeneous data (Q904102) (← links)
- Learning by mirror averaging (Q955138) (← links)
- Model selection with the loss rank principle (Q962384) (← links)
- A survey of cross-validation procedures for model selection (Q975579) (← links)
- Quantization and clustering with Bregman divergences (Q990903) (← links)
- Estimation of the conditional risk in classification: the swapping method (Q1023660) (← links)
- Rademacher complexity in Neyman-Pearson classification (Q1034311) (← links)
- Specification via model selection in vector error correction models (Q1274716) (← links)
- Model selection in nonparametric regression (Q1394765) (← links)
- On learning multicategory classification with sample queries. (Q1427857) (← links)
- Concentration inequalities using the entropy method (Q1431503) (← links)
- Local Rademacher complexity: sharper risk bounds with and without unlabeled samples (Q1669081) (← links)
- Matrixized learning machine with modified pairwise constraints (Q1669624) (← links)
- Relative deviation learning bounds and generalization with unbounded loss functions (Q1714946) (← links)
- Moment inequalities for functions of independent random variables (Q1775439) (← links)
- Bounding the generalization error of convex combinations of classifiers: Balancing the dimensionality and the margins. (Q1872344) (← links)
- Complexity regularization via localized random penalties (Q1879970) (← links)
- Optimal aggregation of classifiers in statistical learning. (Q1884608) (← links)
- Optimal model selection in heteroscedastic regression using piecewise polynomial functions (Q1951154) (← links)
- Model selection by resampling penalization (Q1951992) (← links)
- Penalized empirical risk minimization over Besov spaces (Q1952004) (← links)
- Model selection in utility-maximizing binary prediction (Q2024476) (← links)
- Model error propagation from experimental to prediction configuration (Q2132609) (← links)
- On robust learning in the canonical change point problem under heavy tailed errors in finite and growing dimensions (Q2136638) (← links)
- Concentration inequalities for non-causal random fields (Q2136658) (← links)
- Prediction error after model search (Q2196193) (← links)
- A statistician teaches deep learning (Q2241468) (← links)
- A goodness-of-fit test based on neural network sieve estimators (Q2244442) (← links)
- A local Vapnik-Chervonenkis complexity (Q2281678) (← links)
- Inference on covariance operators via concentration inequalities: \(k\)-sample tests, classification, and clustering via Rademacher complexities (Q2317001) (← links)
- Minimax fast rates for discriminant analysis with errors in variables (Q2345118) (← links)
- Improved loss estimation for the lasso: a variable selection tool (Q2347554) (← links)
- A penalized criterion for variable selection in classification (Q2370521) (← 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)
- Statistical estimation with model selection (Q2385788) (← links)
- Global uniform risk bounds for wavelet deconvolution estimators (Q2429928) (← links)
- Empirical minimization (Q2494402) (← links)
- Local Rademacher complexities (Q2583411) (← links)
- On improved loss estimation for shrinkage estimators (Q2634655) (← links)
