Variational Autoencoder for Generating Broader-Spectrum prior Proposals in Markov chain Monte Carlo Methods
Fuente:
arXiv
Saved in:
| Main Authors: | Borges, Marcio, Pereira, Felipe, Tosin, Michel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differential privacy guarantees of Markov chain Monte Carlo algorithms
by: Bertazzi, Andrea, et al.
Published: (2025)
by: Bertazzi, Andrea, et al.
Published: (2025)
Covariance estimation using Markov chain Monte Carlo
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
Targeted stochastic gradient Markov chain Monte Carlo for hidden Markov models with rare latent states
by: Ou, Rihui, et al.
Published: (2018)
by: Ou, Rihui, et al.
Published: (2018)
Markov chain Monte Carlo without evaluating the target: an auxiliary variable approach
by: Yuan, Wei, et al.
Published: (2024)
by: Yuan, Wei, et al.
Published: (2024)
BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo
by: Champneys, Max D., et al.
Published: (2024)
by: Champneys, Max D., et al.
Published: (2024)
Coreset Markov Chain Monte Carlo
by: Chen, Naitong, et al.
Published: (2023)
by: Chen, Naitong, et al.
Published: (2023)
Stereographic Markov Chain Monte Carlo
by: Yang, Jun, et al.
Published: (2022)
by: Yang, Jun, et al.
Published: (2022)
Stacking Variational Bayesian Monte Carlo
by: Silvestrin, Francesco, et al.
Published: (2025)
by: Silvestrin, Francesco, et al.
Published: (2025)
Online Variational Sequential Monte Carlo
by: Mastrototaro, Alessandro, et al.
Published: (2023)
by: Mastrototaro, Alessandro, et al.
Published: (2023)
Gaussian Invariant Markov Chain Monte Carlo
by: Titsias, Michalis K., et al.
Published: (2025)
by: Titsias, Michalis K., et al.
Published: (2025)
Quantum Speedups for Markov Chain Monte Carlo Methods with Application to Optimization
by: Ozgul, Guneykan, et al.
Published: (2025)
by: Ozgul, Guneykan, et al.
Published: (2025)
Principled Gradient-based Markov Chain Monte Carlo for Text Generation
by: Du, Li, et al.
Published: (2023)
by: Du, Li, et al.
Published: (2023)
Complexity of Markov Chain Monte Carlo for Generalized Linear Models
by: Chak, Martin, et al.
Published: (2025)
by: Chak, Martin, et al.
Published: (2025)
Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
Variational Markov chain mixtures with automatic component selection
by: Miles, Christopher E., et al.
Published: (2024)
by: Miles, Christopher E., et al.
Published: (2024)
Accelerated Markov Chain Monte Carlo Using Adaptive Weighting Scheme
by: Wang, Yanbo, et al.
Published: (2024)
by: Wang, Yanbo, et al.
Published: (2024)
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
by: Kim, Hyunsu, et al.
Published: (2025)
by: Kim, Hyunsu, et al.
Published: (2025)
Some aspects of robustness in modern Markov Chain Monte Carlo
by: Power, Sam, et al.
Published: (2025)
by: Power, Sam, et al.
Published: (2025)
A Broader View of Thompson Sampling
by: Qu, Yanlin, et al.
Published: (2025)
by: Qu, Yanlin, et al.
Published: (2025)
Generalized Graph Transformer Variational Autoencoder
by: Karki, Siddhant
Published: (2025)
by: Karki, Siddhant
Published: (2025)
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
by: Vargas, Francisco, et al.
Published: (2023)
by: Vargas, Francisco, et al.
Published: (2023)
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers
by: Tzikas, Alexandros E., et al.
Published: (2024)
by: Tzikas, Alexandros E., et al.
Published: (2024)
An Integrated Framework for Explainable, Fair, and Observable Hospital Readmission Prediction: Development and Validation on MIMIC-IV
by: Adisa, Isaac Tosin
Published: (2026)
by: Adisa, Isaac Tosin
Published: (2026)
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
by: Dang, Hien, et al.
Published: (2023)
by: Dang, Hien, et al.
Published: (2023)
Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space
by: Chen, Alex, et al.
Published: (2025)
by: Chen, Alex, et al.
Published: (2025)
Bayesian penalized empirical likelihood and Markov Chain Monte Carlo sampling
by: Chang, Jinyuan, et al.
Published: (2024)
by: Chang, Jinyuan, et al.
Published: (2024)
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference
by: McNamara, Declan, et al.
Published: (2024)
by: McNamara, Declan, et al.
Published: (2024)
Efficient Online Variational Estimation via Monte Carlo Sampling
by: Chagneux, Mathis, et al.
Published: (2026)
by: Chagneux, Mathis, et al.
Published: (2026)
True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration
by: Qinghua, et al.
Published: (2026)
by: Qinghua, et al.
Published: (2026)
Synthetic Electrogram Generation with Variational Autoencoders for ECGI
by: Gutiérrez-Fernández, Miriam, et al.
Published: (2025)
by: Gutiérrez-Fernández, Miriam, et al.
Published: (2025)
Exploring Variational Graph Autoencoders for Distribution Grid Data Generation
by: Abbas, Syed Zain, et al.
Published: (2025)
by: Abbas, Syed Zain, et al.
Published: (2025)
Analysis of Variational Sparse Autoencoders
by: Baker, Zachary, et al.
Published: (2025)
by: Baker, Zachary, et al.
Published: (2025)
Variational Rank Reduction Autoencoders
by: Mounayer, Jad, et al.
Published: (2025)
by: Mounayer, Jad, et al.
Published: (2025)
Ensemble Visualization With Variational Autoencoder
by: Wu, Cenyang, et al.
Published: (2025)
by: Wu, Cenyang, et al.
Published: (2025)
An Introduction to Discrete Variational Autoencoders
by: Jeffares, Alan, et al.
Published: (2025)
by: Jeffares, Alan, et al.
Published: (2025)
Likelihood-Free Variational Autoencoders
by: Xu, Chen, et al.
Published: (2025)
by: Xu, Chen, et al.
Published: (2025)
On Kernel-based Variational Autoencoder
by: Qin, Tian, et al.
Published: (2024)
by: Qin, Tian, et al.
Published: (2024)
SAHMM-VAE: A Source-Wise Adaptive Hidden Markov Prior Variational Autoencoder for Unsupervised Blind Source Separation
by: Wei, Yuan-Hao
Published: (2026)
by: Wei, Yuan-Hao
Published: (2026)
Deep Variational Sequential Monte Carlo for High-Dimensional Observations
by: van Nierop, Wessel L., et al.
Published: (2025)
by: van Nierop, Wessel L., et al.
Published: (2025)
Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG
by: Chen, Naitong, et al.
Published: (2024)
by: Chen, Naitong, et al.
Published: (2024)
Similar Items
-
Differential privacy guarantees of Markov chain Monte Carlo algorithms
by: Bertazzi, Andrea, et al.
Published: (2025) -
Covariance estimation using Markov chain Monte Carlo
by: Kook, Yunbum, et al.
Published: (2024) -
Targeted stochastic gradient Markov chain Monte Carlo for hidden Markov models with rare latent states
by: Ou, Rihui, et al.
Published: (2018) -
Markov chain Monte Carlo without evaluating the target: an auxiliary variable approach
by: Yuan, Wei, et al.
Published: (2024) -
BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo
by: Champneys, Max D., et al.
Published: (2024)