Pages that link to "Item:Q5432428"
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The following pages link to Aggregation by Exponential Weighting and Sharp Oracle Inequalities (Q5432428):
Displaying 39 items.
- Ordered smoothers with exponential weighting (Q372129) (← links)
- Sparse regression learning by aggregation and Langevin Monte-Carlo (Q439987) (← links)
- Mirror averaging with sparsity priors (Q442083) (← links)
- Transductive versions of the Lasso and the Dantzig selector (Q447611) (← links)
- Kullback-Leibler aggregation and misspecified generalized linear models (Q447818) (← links)
- Concentration inequalities for the exponential weighting method (Q461822) (← links)
- Exponential screening and optimal rates of sparse estimation (Q548534) (← links)
- Generalization of constraints for high dimensional regression problems (Q645414) (← links)
- Deviation optimal learning using greedy \(Q\)-aggregation (Q693750) (← links)
- Some theoretical results on the grouped variables Lasso (Q734551) (← links)
- Bayesian linear regression with sparse priors (Q888501) (← links)
- Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity (Q1009266) (← links)
- Sparse recovery in convex hulls via entropy penalization (Q1018643) (← links)
- On \(\beta\)-precision aggregation. (Q1414754) (← links)
- An oracle inequality for quasi-Bayesian nonnegative matrix factorization (Q1678528) (← links)
- A quasi-Bayesian perspective to online clustering (Q1786586) (← links)
- On the exponentially weighted aggregate with the Laplace prior (Q1800807) (← links)
- Exponential weighting and oracle inequalities for projection estimates (Q1928229) (← links)
- Non-local methods with shape-adaptive patches (NLM-SAP) (Q1932941) (← links)
- Sharp oracle inequalities for aggregation of affine estimators (Q1940775) (← links)
- On the optimality of the empirical risk minimization procedure for the convex aggregation problem (Q1943331) (← links)
- Minimax risks for sparse regressions: ultra-high dimensional phenomenons (Q1950804) (← links)
- Optimal model selection in heteroscedastic regression using piecewise polynomial functions (Q1951154) (← links)
- PAC-Bayesian bounds for sparse regression estimation with exponential weights (Q1952177) (← links)
- The smooth-Lasso and other \(\ell _{1}+\ell _{2}\)-penalized methods (Q1952223) (← links)
- On the optimality of the aggregate with exponential weights for low temperatures (Q1952438) (← links)
- Sampling from non-smooth distributions through Langevin diffusion (Q2065460) (← links)
- Exponential weights in multivariate regression and a low-rankness favoring prior (Q2179638) (← links)
- Aggregation of estimators and stochastic optimization (Q2197367) (← links)
- Prediction error bounds for linear regression with the TREX (Q2273161) (← links)
- Sharp oracle inequalities for low-complexity priors (Q2304249) (← links)
- Localized Gaussian width of \(M\)-convex hulls with applications to Lasso and convex aggregation (Q2325349) (← links)
- Mixing partially linear regression models (Q2392079) (← links)
- PAC-Bayesian risk bounds for group-analysis sparse regression by exponential weighting (Q2418515) (← links)
- Aggregation of affine estimators (Q2447090) (← links)
- Estimation and variable selection with exponential weights (Q2447091) (← links)
- Optimal learning with \textit{Q}-aggregation (Q2448729) (← links)
- Sparse estimation by exponential weighting (Q5965309) (← links)
- Simple proof of the risk bound for denoising by exponential weights for asymmetric noise distributions (Q6193809) (← links)
