Pages that link to "Item:Q4374015"
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The following pages link to Integral Probability Metrics and Their Generating Classes of Functions (Q4374015):
Displaying 50 items.
- Equivalence of distance-based and RKHS-based statistics in hypothesis testing (Q85652) (← links)
- Probabilistic model validation for uncertain nonlinear systems (Q466275) (← links)
- On kernel methods for covariates that are rankings (Q1657968) (← links)
- Testing for central symmetry and inference of the unknown center (Q1663104) (← links)
- Learning bounds of ERM principle for sequences of time-dependent samples (Q1723532) (← links)
- Covariate balancing propensity score by tailored loss functions (Q1731067) (← links)
- Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations (Q1785197) (← links)
- On the empirical estimation of integral probability metrics (Q1950872) (← links)
- Least-squares two-sample test (Q1952558) (← links)
- Parametric generation of conditional geological realizations using generative neural networks (Q2009823) (← links)
- Admissible kernels for RKHS embedding of probability distributions (Q2065290) (← links)
- Wasserstein-based fairness interpretability framework for machine learning models (Q2102385) (← links)
- Donsker results for the empirical process indexed by functions of locally bounded variation and applications to the smoothed empirical process (Q2108477) (← links)
- Minimax estimation of smooth densities in Wasserstein distance (Q2148986) (← links)
- Entropy-regularized 2-Wasserstein distance between Gaussian measures (Q2154664) (← links)
- Frameworks and results in distributionally robust optimization (Q2165596) (← links)
- Directional differentiability for supremum-type functionals: statistical applications (Q2174996) (← links)
- Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric (Q2183591) (← links)
- Near-optimal coresets of kernel density estimates (Q2189735) (← links)
- Robust unsupervised domain adaptation for neural networks via moment alignment (Q2212554) (← links)
- First-order sensitivity of the optimal value in a Markov decision model with respect to deviations in the transition probability function (Q2216181) (← links)
- On quantitative stability in infinite-dimensional optimization under uncertainty (Q2230794) (← links)
- Measuring sample quality with diffusions (Q2286455) (← links)
- Risk excess measures induced by hemi-metrics (Q2296116) (← links)
- A normal hierarchical model and minimum contrast estimation for random intervals (Q2352450) (← links)
- Weak convergence of laws on \(\mathbb R^{K}\) with common marginals (Q2641433) (← links)
- A concept of copula robustness and its applications in quantitative risk management (Q2675816) (← links)
- Stein's method meets computational statistics: a review of some recent developments (Q2684693) (← links)
- Multivariate tests of independence based on a new class of measures of independence in reproducing kernel Hilbert space (Q2692923) (← links)
- Sensitivity Analysis Based on Cramér--von Mises Distance (Q3176231) (← links)
- (Q4907220) (← links)
- Generalized Optimal Matching Methods for Causal Inference (Q4969111) (← links)
- (Q4999018) (← links)
- (Q4999094) (← links)
- Normal approximation for mixtures of normal distributions and the evolution of phenotypic traits (Q5022284) (← links)
- Model Uncertainty and Correctability for Directed Graphical Models (Q5052911) (← links)
- (Q5053296) (← links)
- (Q5054599) (← links)
- (Q5054641) (← links)
- Probability Functions in the Context of Signed Involutive Meadows (Extended Abstract) (Q5208500) (← links)
- Global sensitivity analysis with dependence measures (Q5220789) (← links)
- Bayesian Probabilistic Numerical Methods (Q5243179) (← links)
- Bisimulation for Markov Decision Processes through Families of Functional Expressions (Q5418971) (← links)
- A Generalized Kernel Method for Global Sensitivity Analysis (Q5862896) (← links)
- (Q5875519) (← links)
- Approximation bounds for norm constrained neural networks with applications to regression and GANs (Q6038825) (← links)
- On the capacity of deep generative networks for approximating distributions (Q6055167) (← links)
- Generalized Functional Discriminating Measure For Finite Probability Distributions (Q6061441) (← links)
- A class of dimension-free metrics for the convergence of empirical measures (Q6072907) (← links)
- Stein variational gradient descent with learned direction (Q6124701) (← links)
