scientific article; zbMATH DE number 7625192
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Publication:5054641
Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Yannis Pantazis, Luc Rey-Bellet
Publication date: 29 November 2022
Full work available at URL: https://arxiv.org/abs/2011.05953
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Cites Work
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- Multilayer feedforward networks are universal approximators
- On the empirical estimation of integral probability metrics
- Optimal transport for applied mathematicians. Calculus of variations, PDEs, and modeling
- Sensitivity analysis for rare events based on Rényi divergence
- MEASURING DISTRIBUTION MODEL RISK
- Path-Space Information Bounds for Uncertainty Quantification and Sensitivity Analysis of Stochastic Dynamics
- Robust Sensitivity Analysis for Stochastic Systems
- Robust risk measurement and model risk
- Duality in Vector Optimization
- Minimization of φ-divergences on sets of signed measures
- Robust Bounds on Risk-Sensitive Functionals via Rényi Divergence
- Support Vector Machines
- Divergence Estimation of Continuous Distributions Based on Data-Dependent Partitions
- On Divergences and Informations in Statistics and Information Theory
- Calculation of the Wasserstein Distance Between Probability Distributions on the Line
- Integral Probability Metrics and Their Generating Classes of Functions
- Another Proof that Convex Functions are Locally Lipschitz
- Formulation and properties of a divergence used to compare probability measures without absolute continuity
- Optimizing Variational Representations of Divergences and Accelerating Their Statistical Estimation
- How Biased Is Your Model? Concentration Inequalities, Information and Model Bias
- Convergence Rate of $\mathcal{O}(1/k)$ for Optimistic Gradient and Extragradient Methods in Smooth Convex-Concave Saddle Point Problems
- Variational Representations and Neural Network Estimation of Rényi Divergences
- Uniform Central Limit Theorems
- Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization
- Distinguishing and integrating aleatoric and epistemic variation in uncertainty quantification
- Universality, Characteristic Kernels and RKHS Embedding of Measures
- AN OLD‐NEW CONCEPT OF CONVEX RISK MEASURES: THE OPTIMIZED CERTAINTY EQUIVALENT
- Convex Analysis
- On Information and Sufficiency
- Optimal Transport
- Approximation by superpositions of a sigmoidal function
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