Branching Stein Variational Gradient Descent for sampling multimodal distributions
Fuente:
arXiv
Guardado en:
| Autores principales: | Bañales, Isaías, Jaramillo, Arturo, Ricalde-Guerrero, Joshué Helí |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Multirate Stein Variational Gradient Descent for Efficient Bayesian Sampling
por: Sarshar, Arash
Publicado: (2026)
por: Sarshar, Arash
Publicado: (2026)
Subsampling Error in Stochastic Gradient Langevin Diffusions
por: Jin, Kexin, et al.
Publicado: (2023)
por: Jin, Kexin, et al.
Publicado: (2023)
Bayesian Covariance Uncertainty for Adaptive Pilot-Sampling Termination in Multi-fidelity Uncertainty Quantification
por: Coons, Thomas E., et al.
Publicado: (2025)
por: Coons, Thomas E., et al.
Publicado: (2025)
Mixture-Weighted Ensemble Kalman Filter with Quasi-Monte Carlo Transport
por: Klebanov, Ilja, et al.
Publicado: (2026)
por: Klebanov, Ilja, et al.
Publicado: (2026)
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients
por: Chada, Neil K., et al.
Publicado: (2023)
por: Chada, Neil K., et al.
Publicado: (2023)
Accelerate Langevin Sampling with Birth-Death Process and Exploration Component
por: Tan, Lezhi, et al.
Publicado: (2023)
por: Tan, Lezhi, et al.
Publicado: (2023)
Affine Invariant Langevin Dynamics for rare-event sampling
por: Chakraborty, Deepyaman, et al.
Publicado: (2025)
por: Chakraborty, Deepyaman, et al.
Publicado: (2025)
Multilevel Markov Chain Monte Carlo with likelihood scaling for Bayesian inversion with high-resolution observations
por: Vanmechelen, Pieter, et al.
Publicado: (2024)
por: Vanmechelen, Pieter, et al.
Publicado: (2024)
Bayesian experimental design: grouped geometric pooled posterior via ensemble Kalman methods
por: Yang, Huchen, et al.
Publicado: (2026)
por: Yang, Huchen, et al.
Publicado: (2026)
Random Reshuffling for Stochastic Gradient Langevin Dynamics
por: Shaw, Luke, et al.
Publicado: (2025)
por: Shaw, Luke, et al.
Publicado: (2025)
Taylor Approximation Variance Reduction for Approximation Errors in PDE-constrained Bayesian Inverse Problems
por: Nicholson, Ruanui, et al.
Publicado: (2025)
por: Nicholson, Ruanui, et al.
Publicado: (2025)
A localized consensus-based sampling algorithm
por: Bouillon, Arne, et al.
Publicado: (2025)
por: Bouillon, Arne, et al.
Publicado: (2025)
Localized Schrödinger Bridge Sampler
por: Gottwald, Georg A., et al.
Publicado: (2024)
por: Gottwald, Georg A., et al.
Publicado: (2024)
Stable generative modeling using Schrödinger bridges
por: Gottwald, Georg A., et al.
Publicado: (2024)
por: Gottwald, Georg A., et al.
Publicado: (2024)
A Particle Algorithm for Mean-Field Variational Inference
por: Du, Qiang, et al.
Publicado: (2024)
por: Du, Qiang, et al.
Publicado: (2024)
Bayesian parameter identification in impedance boundary conditions for Helmholtz problems
por: Wulbusch, Nick, et al.
Publicado: (2023)
por: Wulbusch, Nick, et al.
Publicado: (2023)
Deep unfolding of MCMC kernels: scalable, modular & explainable GANs for high-dimensional posterior sampling
por: Spence, Jonathan, et al.
Publicado: (2026)
por: Spence, Jonathan, et al.
Publicado: (2026)
Hamiltonian Monte Carlo for (Physics) Dummies
por: Mukherjee, Arghya, et al.
Publicado: (2026)
por: Mukherjee, Arghya, et al.
Publicado: (2026)
Surrogate-Based Bayesian Inference: Uncertainty Quantification and Active Learning
por: Roberts, Andrew Gerard, et al.
Publicado: (2026)
por: Roberts, Andrew Gerard, et al.
Publicado: (2026)
Large sample scaling analysis of the Zig-Zag algorithm for Bayesian inference
por: Agrawal, Sanket, et al.
Publicado: (2024)
por: Agrawal, Sanket, et al.
Publicado: (2024)
Markov chain Monte Carlo for Bayesian inference of the non-conducting region in intra-atrial reentrant tachycardia
por: Volkaerts, Maarten, et al.
Publicado: (2026)
por: Volkaerts, Maarten, et al.
Publicado: (2026)
An ensemble Kalman approach to randomized maximum likelihood estimation
por: Stavrinides, Pavlos, et al.
Publicado: (2025)
por: Stavrinides, Pavlos, et al.
Publicado: (2025)
Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations
por: Sommer, David, et al.
Publicado: (2024)
por: Sommer, David, et al.
Publicado: (2024)
Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems
por: Gruhlke, Robert, et al.
Publicado: (2025)
por: Gruhlke, Robert, et al.
Publicado: (2025)
Quasi-Monte Carlo and importance sampling methods for Bayesian inverse problems
por: He, Zhijian, et al.
Publicado: (2024)
por: He, Zhijian, et al.
Publicado: (2024)
Inverse Probability Weighting: from Survey Sampling to Evidence Estimation
por: Datta, Jyotishka, et al.
Publicado: (2022)
por: Datta, Jyotishka, et al.
Publicado: (2022)
Spatial best linear unbiased prediction: A computational mathematics approach for high dimensional massive datasets
por: Castrillon-Candas, Julio E.
Publicado: (2017)
por: Castrillon-Candas, Julio E.
Publicado: (2017)
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization
por: Luo, Hengrui, et al.
Publicado: (2022)
por: Luo, Hengrui, et al.
Publicado: (2022)
Adaptive Riemannian Manifold Hamiltonian Monte Carlo with Hierarchical Metric
por: Kailas, Miika, et al.
Publicado: (2026)
por: Kailas, Miika, et al.
Publicado: (2026)
A friendly introduction to triangular transport
por: Ramgraber, Maximilian, et al.
Publicado: (2025)
por: Ramgraber, Maximilian, et al.
Publicado: (2025)
Goal oriented optimal design of infinite-dimensional Bayesian inverse problems using quadratic approximations
por: Neuberger, J. Nicholas, et al.
Publicado: (2024)
por: Neuberger, J. Nicholas, et al.
Publicado: (2024)
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
por: Tan, Hong Ye, et al.
Publicado: (2024)
por: Tan, Hong Ye, et al.
Publicado: (2024)
Conditional McKean-Vlasov Differential Equations with Common Poissonian Noise: Propagation of Chaos
por: Hernández-Hernández, Daniel, et al.
Publicado: (2023)
por: Hernández-Hernández, Daniel, et al.
Publicado: (2023)
Quantile Importance Sampling
por: Datta, Jyotishka, et al.
Publicado: (2023)
por: Datta, Jyotishka, et al.
Publicado: (2023)
Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows
por: Crucinio, Francesca R., et al.
Publicado: (2025)
por: Crucinio, Francesca R., et al.
Publicado: (2025)
An operator splitting analysis of Wasserstein--Fisher--Rao gradient flows
por: Crucinio, Francesca Romana, et al.
Publicado: (2025)
por: Crucinio, Francesca Romana, et al.
Publicado: (2025)
Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty
por: Kimchaiwong, Chatchuea, et al.
Publicado: (2024)
por: Kimchaiwong, Chatchuea, et al.
Publicado: (2024)
Mean--Variance Risk-Aware Bayesian Optimal Experimental Design for Nonlinear Models
por: Shen, Wanggang, et al.
Publicado: (2026)
por: Shen, Wanggang, et al.
Publicado: (2026)
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty
por: Alexanderian, Alen, et al.
Publicado: (2022)
por: Alexanderian, Alen, et al.
Publicado: (2022)
Multilevel randomized quasi-Monte Carlo estimator for nested integration
por: Bartuska, Arved, et al.
Publicado: (2024)
por: Bartuska, Arved, et al.
Publicado: (2024)
Ejemplares similares
-
Multirate Stein Variational Gradient Descent for Efficient Bayesian Sampling
por: Sarshar, Arash
Publicado: (2026) -
Subsampling Error in Stochastic Gradient Langevin Diffusions
por: Jin, Kexin, et al.
Publicado: (2023) -
Bayesian Covariance Uncertainty for Adaptive Pilot-Sampling Termination in Multi-fidelity Uncertainty Quantification
por: Coons, Thomas E., et al.
Publicado: (2025) -
Mixture-Weighted Ensemble Kalman Filter with Quasi-Monte Carlo Transport
por: Klebanov, Ilja, et al.
Publicado: (2026) -
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients
por: Chada, Neil K., et al.
Publicado: (2023)