Pages that link to "Item:Q4593744"
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The following pages link to Kernel Mean Embedding of Distributions: A Review and Beyond (Q4593744):
Displaying 16 items.
- Scalable kernel two-sample tests via empirical likelihood and jackknife (Q6204959) (← links)
- A kernel framework for learning differential equations and their solution operators (Q6496499) (← links)
- Kernel embedding of measures and low-rank approximation of integral operators (Q6500136) (← links)
- Reversible Gromov-Monge sampler for simulation-based inference (Q6536736) (← links)
- Reinforcement learning in non-Markovian environments (Q6540842) (← links)
- Closed-form expressions for maximum mean discrepancy with applications to Wasserstein auto-encoders (Q6541723) (← links)
- Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring (Q6585592) (← links)
- On nonparametric conditional independence tests for continuous variables (Q6601086) (← links)
- Unbalanced optimal transport and maximum mean discrepancies: interconnections and rapid evaluation (Q6601120) (← links)
- Spectral regularized Kernel two-sample tests (Q6608681) (← links)
- Nonconvex SVM for cancer diagnosis based on morphologic features of tumor microenvironment (Q6616362) (← links)
- Kernel-based Sensitivity Analysis for (Excursion) Sets (Q6637481) (← links)
- Error analysis of kernel/GP methods for nonlinear and parametric PDEs (Q6648398) (← links)
- Energy-based sequential sampling for low-rank PSD-matrix approximation (Q6655075) (← links)
- A Gaussian process approach to model checks (Q6656628) (← links)
- Kernel mean embedding vs kernel density estimation: a quantum perspective (Q6659743) (← links)
