Pages that link to "Item:Q2801323"
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The following pages link to Path-space information bounds for uncertainty quantification and sensitivity analysis of stochastic dynamics (Q2801323):
Displaying 26 items.
- Learning models with uniform performance via distributionally robust optimization (Q820804) (← links)
- Scalable information inequalities for uncertainty quantification (Q1685620) (← links)
- Frameworks and results in distributionally robust optimization (Q2165596) (← links)
- Data-driven, variational model reduction of high-dimensional reaction networks (Q2222683) (← links)
- Robust bounds and optimization at the large deviations scale for queueing models via Rényi divergence (Q2240844) (← links)
- Path-space variational inference for non-equilibrium coarse-grained systems (Q2375138) (← links)
- Sensitivity analysis for rare events based on Rényi divergence (Q2657916) (← links)
- A theoretical examination of diffusive molecular dynamics (Q2832992) (← links)
- Information Metrics For Long-Time Errors in Splitting Schemes For Stochastic Dynamics and Parallel Kinetic Monte Carlo (Q2953224) (← links)
- Partitioning a macroscopic system into independent subsystems (Q3303159) (← links)
- Robust Information Divergences for Model-Form Uncertainty Arising from Sparse Data in Random PDE (Q4611520) (← links)
- Information Geometry for Approximate Bayesian Computation (Q4960991) (← links)
- Uncertainty Quantification for Markov Processes via Variational Principles and Functional Inequalities (Q4961000) (← links)
- Robust Analysis in Stochastic Simulation: Computation and Performance Guarantees (Q4971591) (← links)
- Quantification of model uncertainty on path-space<i>via</i>goal-oriented relative entropy (Q5006303) (← links)
- Formulation and properties of a divergence used to compare probability measures without absolute continuity (Q5024347) (← links)
- Model Uncertainty and Correctability for Directed Graphical Models (Q5052911) (← links)
- (Q5054641) (← links)
- Wasserstein Sensitivity of Risk and Uncertainty Propagation (Q5097853) (← links)
- Towards Confident Bayesian Parameter Estimation in Stochastic Chemical Kinetics (Q5152827) (← links)
- Lagrangian Uncertainty Quantification and Information Inequalities for Stochastic Flows (Q5158922) (← links)
- Uncertainty Quantification for Markov Random Fields (Q5158928) (← links)
- Quantifying Distributional Model Risk via Optimal Transport (Q5219730) (← links)
- Overcoming the timescale barrier in molecular dynamics: Transfer operators, variational principles and machine learning (Q6047503) (← links)
- Nonparametric inference of stochastic differential equations based on the relative entropy rate (Q6182259) (← links)
- Parametric scenario optimization under limited data: a distributionally robust optimization view (Q6600105) (← links)
