Pages that link to "Item:Q1880598"
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The following pages link to Statistical learning theory and stochastic optimization. Ecole d'Eté de Probabilitiés de Saint-Flour XXXI -- 2001. (Q1880598):
Displaying 50 items.
- Performance of empirical risk minimization in linear aggregation (Q282546) (← links)
- Ordered smoothers with exponential weighting (Q372129) (← links)
- Random design analysis of ridge regression (Q404306) (← links)
- Sparse regression learning by aggregation and Langevin Monte-Carlo (Q439987) (← links)
- Model selection for weakly dependent time series forecasting (Q442082) (← links)
- Mirror averaging with sparsity priors (Q442083) (← links)
- Kullback-Leibler aggregation and misspecified generalized linear models (Q447818) (← links)
- Concentration inequalities for the exponential weighting method (Q461822) (← links)
- Pseudo-Bayesian quantum tomography with rank-adaptation (Q511674) (← links)
- Estimator selection with respect to Hellinger-type risks (Q644788) (← links)
- Iterative feature selection in least square regression estimation (Q731450) (← links)
- Generalized mirror averaging and \(D\)-convex aggregation (Q734528) (← links)
- Linear and convex aggregation of density estimators (Q734530) (← links)
- Robust forecast combinations (Q738116) (← links)
- Sparsity in penalized empirical risk minimization (Q838303) (← links)
- Aggregation of predictors for nonstationary sub-linear processes and online adaptive forecasting of time varying autoregressive processes (Q892242) (← links)
- Learning by mirror averaging (Q955138) (← links)
- A universal procedure for aggregating estimators (Q1002171) (← links)
- Sparse recovery in convex hulls via entropy penalization (Q1018643) (← links)
- 1-bit matrix completion: PAC-Bayesian analysis of a variational approximation (Q1640399) (← links)
- Simpler PAC-Bayesian bounds for hostile data (Q1640576) (← links)
- PAC-Bayesian high dimensional bipartite ranking (Q1642737) (← links)
- A general procedure to combine estimators (Q1660150) (← links)
- An oracle inequality for quasi-Bayesian nonnegative matrix factorization (Q1678528) (← links)
- Bayesian fractional posteriors (Q1731743) (← links)
- A quasi-Bayesian perspective to online clustering (Q1786586) (← links)
- Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation (Q1790387) (← links)
- On the exponentially weighted aggregate with the Laplace prior (Q1800807) (← links)
- Exponential weighting and oracle inequalities for projection estimates (Q1928229) (← links)
- Challenging the empirical mean and empirical variance: a deviation study (Q1930659) (← links)
- \(\ell _{1}\)-regularized linear regression: persistence and oracle inequalities (Q1930861) (← links)
- Sharp oracle inequalities for aggregation of affine estimators (Q1940775) (← links)
- Oracle inequalities for cross-validation type procedures (Q1950881) (← links)
- PAC-Bayesian estimation and prediction in sparse additive models (Q1951111) (← links)
- PAC-Bayesian bounds for sparse regression estimation with exponential weights (Q1952177) (← links)
- On the optimality of the aggregate with exponential weights for low temperatures (Q1952438) (← links)
- Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices (Q2091833) (← links)
- A minimax framework for quantifying risk-fairness trade-off in regression (Q2091849) (← links)
- PAC-Bayesian lifelong learning for multi-armed bandits (Q2134066) (← links)
- Concentration of tempered posteriors and of their variational approximations (Q2196229) (← links)
- Aggregation of estimators and stochastic optimization (Q2197367) (← links)
- A general framework for Bayes structured linear models (Q2215762) (← links)
- Flexible, boundary adapted, nonparametric methods for the estimation of univariate piecewise-smooth functions (Q2293678) (← links)
- Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions (Q2313281) (← links)
- Aggregation using input-output trade-off (Q2317264) (← links)
- A Bayesian approach for noisy matrix completion: optimal rate under general sampling distribution (Q2340879) (← links)
- On aggregation for heavy-tailed classes (Q2363649) (← links)
- Fast learning rates in statistical inference through aggregation (Q2388975) (← links)
- Mixing partially linear regression models (Q2392079) (← links)
- Aggregation of affine estimators (Q2447090) (← links)
