The following pages link to (Q3623263):
Displaying 50 items.
- Optimal learning with Bernstein Online Aggregation (Q72768) (← links)
- Robust Bayes estimation using the density power divergence (Q263267) (← links)
- The lower tail of random quadratic forms with applications to ordinary least squares (Q343803) (← links)
- Mathematical analysis of a two-patch model of tuberculosis disease with staged progression (Q345440) (← 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)
- Transductive versions of the Lasso and the Dantzig selector (Q447611) (← links)
- Pseudo-Bayesian quantum tomography with rank-adaptation (Q511674) (← links)
- PAC-Bayesian bounds for randomized empirical risk minimizers (Q734547) (← 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)
- An oracle inequality for quasi-Bayesian nonnegative matrix factorization (Q1678528) (← links)
- Bayesian fractional posteriors (Q1731743) (← links)
- Consistency of variational Bayes inference for estimation and model selection in mixtures (Q1786584) (← 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)
- Challenging the empirical mean and empirical variance: a deviation study (Q1930659) (← links)
- Oracle inequalities for cross-validation type procedures (Q1950881) (← links)
- PAC-Bayesian estimation and prediction in sparse additive models (Q1951111) (← links)
- Model selection by resampling penalization (Q1951992) (← 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)
- Robust Bayes-like estimation: rho-Bayes estimation (Q1996790) (← links)
- Estimation from nonlinear observations via convex programming with application to bilinear regression (Q2002578) (← links)
- Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices (Q2091833) (← links)
- Gibbs posterior convergence and the thermodynamic formalism (Q2117451) (← links)
- Exponential weights in multivariate regression and a low-rankness favoring prior (Q2179638) (← links)
- Concentration of tempered posteriors and of their variational approximations (Q2196229) (← links)
- Robust and rate-optimal Gibbs posterior inference on the boundary of a noisy image (Q2196231) (← links)
- Fast greedy \(\mathcal{C} \)-bound minimization with guarantees (Q2217455) (← links)
- Sharp oracle inequalities for low-complexity priors (Q2304249) (← links)
- Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions (Q2313281) (← links)
- A Bayesian approach for noisy matrix completion: optimal rate under general sampling distribution (Q2340879) (← links)
- Optimal learning with \textit{Q}-aggregation (Q2448729) (← links)
- On some recent advances on high dimensional Bayesian statistics (Q2786539) (← links)
- GENERAL INEQUALITIES FOR GIBBS POSTERIOR WITH NONADDITIVE EMPIRICAL RISK (Q2936835) (← links)
- (Q4969253) (← links)
- (Q5053235) (← links)
- (Q5054625) (← links)
- General Robust Bayes Pseudo-Posteriors: Exponential Convergence Results with Applications (Q5066774) (← links)
- On strict sub-Gaussianity, optimal proxy variance and symmetry for bounded random variables (Q5110208) (← links)
- (Q5133500) (← links)
- Prediction of time series by statistical learning: general losses and fast rates (Q5417591) (← links)
- Sparse estimation by exponential weighting (Q5965309) (← links)
- Scalable subspace methods for derivative-free nonlinear least-squares optimization (Q6038650) (← links)
- A reduced-rank approach to predicting multiple binary responses through machine learning (Q6089192) (← links)
- An efficient adaptive MCMC algorithm for pseudo-Bayesian quantum tomography (Q6177006) (← links)
