The following pages link to (Q5396672):
Displaying 41 items.
- Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization (Q72746) (← links)
- Bayesian manifold regression (Q282481) (← links)
- Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models (Q340712) (← links)
- Log-concavity and strong log-concavity: a review (Q485901) (← links)
- On degeneracy and invariances of random fields paths with applications in Gaussian process modelling (Q899361) (← links)
- Credible sets in the fixed design model with Brownian motion prior (Q899539) (← links)
- Semiparametric Bernstein-von Mises for the error standard deviation (Q1951109) (← links)
- Variable selection consistency of Gaussian process regression (Q2054515) (← links)
- Flexible Bayesian dynamic modeling of correlation and covariance matrices (Q2057355) (← links)
- Bayesian fixed-domain asymptotics for covariance parameters in a Gaussian process model (Q2112815) (← links)
- Nested aggregation of experts using inducing points for approximated Gaussian process regression (Q2163216) (← links)
- Semiparametric Bayesian causal inference (Q2215769) (← links)
- Small ball probabilities, metric entropy and Gaussian rough paths (Q2235831) (← links)
- Adaptive Bayesian nonparametric regression using a kernel mixture of polynomials with application to partial linear models (Q2297237) (← links)
- Rates of contraction with respect to \(L_2\)-distance for Bayesian nonparametric regression (Q2326065) (← links)
- Convergence types and rates in generic Karhunen-Loève expansions with applications to sample path properties (Q2334556) (← links)
- Asymptotic analysis of the learning curve for Gaussian process regression (Q2339938) (← links)
- Convergence rate of Bayesian supervised tensor modeling with multiway shrinkage priors (Q2401360) (← links)
- Thomas Bayes' walk on manifolds (Q2447296) (← links)
- Anisotropic function estimation using multi-bandwidth Gaussian processes (Q2448734) (← links)
- Small sample spaces for Gaussian processes (Q2692515) (← links)
- (Q4066989) (← links)
- Information loss on the dependence parameter due to incomplete data from a one-parameter spatial gaussian process (Q4337124) (← links)
- Posterior contraction in Gaussian process regression using Wasserstein approximations (Q4603714) (← links)
- (Q4999099) (← links)
- Multiple Kernel Learningの学習理論 (Q5011460) (← links)
- Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy (Q5052906) (← links)
- Maximum Likelihood Estimation and Uncertainty Quantification for Gaussian Process Approximation of Deterministic Functions (Q5119635) (← links)
- Comparing and Weighting Imperfect Models Using D-Probabilities (Q5120673) (← links)
- Convergence of Gaussian Process Regression with Estimated Hyper-Parameters and Applications in Bayesian Inverse Problems (Q5139353) (← links)
- (Q5148979) (← links)
- Bayesian Projected Calibration of Computer Models (Q5881976) (← links)
- Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation (Q6062242) (← links)
- Distributed Bayesian inference in massive spatial data (Q6111472) (← links)
- Multimodel ensemble analysis with neural network Gaussian processes (Q6138650) (← links)
- Sobolev regularity of Gaussian random fields (Q6144348) (← links)
- Model-based statistical depth with applications to functional data (Q6536879) (← links)
- Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates (Q6573308) (← links)
- Direct Bayesian linear regression for distribution-valued covariates (Q6597261) (← links)
- Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets (Q6622449) (← links)
- A Nonstationary Soft Partitioned Gaussian Process Model via Random Spanning Trees (Q6631709) (← links)
