Pages that link to "Item:Q5082037"
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The following pages link to Certified dimension reduction in nonlinear Bayesian inverse problems (Q5082037):
Displaying 24 items.
- Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems (Q1009939) (← links)
- Bayesian inference of random fields represented with the Karhunen-Loève expansion (Q1989096) (← links)
- Rate-optimal refinement strategies for local approximation MCMC (Q2172107) (← links)
- Generalized bounds for active subspaces (Q2180052) (← links)
- A unified performance analysis of likelihood-informed subspace methods (Q2676941) (← links)
- Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems (Q5044972) (← links)
- Multifidelity Dimension Reduction via Active Subspaces (Q5107797) (← links)
- Scalable Optimization-Based Sampling on Function Space (Q5112552) (← links)
- Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions (Q5220403) (← links)
- Projected Wasserstein Gradient Descent for High-Dimensional Bayesian Inference (Q5880609) (← links)
- Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance (Q6054284) (← links)
- Certified Dimension Reduction for Bayesian Updating with the Cross-Entropy Method (Q6109169) (← links)
- A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models (Q6146995) (← links)
- Large-scale Bayesian optimal experimental design with derivative-informed projected neural network (Q6159007) (← links)
- Large Deviation Theory-based Adaptive Importance Sampling for Rare Events in High Dimensions (Q6177925) (← links)
- Deep Importance Sampling Using Tensor Trains with Application to a Priori and a Posteriori Rare Events (Q6189161) (← links)
- Multilevel dimension-independent likelihood-informed MCMC for large-scale inverse problems (Q6194963) (← links)
- A local approach to parameter space reduction for regression and classification tasks (Q6536826) (← links)
- Certified coordinate selection for high-dimensional Bayesian inversion with Laplace prior (Q6581669) (← links)
- Principal feature detection via \(\phi \)-Sobolev inequalities (Q6589581) (← links)
- Optimal experimental design: formulations and computations (Q6598420) (← links)
- hIPPYlib-MUQ: a Bayesian inference software framework for integration of data with complex predictive models under uncertainty (Q6601373) (← links)
- Optimal neural network approximation of Wasserstein gradient direction via convex optimization (Q6633046) (← links)
- On the representation and learning of monotone triangular transport maps (Q6659499) (← links)
