Saved in:
| Main Authors: | Peña, Victor, Jauch, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.00749 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Continuous Gaussian mixture solution for linear Bayesian inversion with application to Laplace priors
by: Flock, Rafael, et al.
Published: (2024)
by: Flock, Rafael, et al.
Published: (2024)
Use of Lambert W function in the simulation of Weibull and non-Weibull distributions
by: Patra, Subhashree, et al.
Published: (2025)
by: Patra, Subhashree, et al.
Published: (2025)
Regime-Switching Langevin Monte Carlo Algorithms
by: Wang, Xiaoyu, et al.
Published: (2025)
by: Wang, Xiaoyu, et al.
Published: (2025)
Efficient variance-based reliability sensitivity analysis for Monte Carlo methods
by: Most, Thomas
Published: (2024)
by: Most, Thomas
Published: (2024)
Generalized Sequential Monte Carlo Sampling for Redistricting Simulation
by: O'Sullivan, Philip, et al.
Published: (2026)
by: O'Sullivan, Philip, et al.
Published: (2026)
Repetition effects in a Sequential Monte Carlo sampler
by: Cannon, Sarah, et al.
Published: (2024)
by: Cannon, Sarah, et al.
Published: (2024)
Some aspects of robustness in modern Markov Chain Monte Carlo
by: Power, Sam, et al.
Published: (2025)
by: Power, Sam, et al.
Published: (2025)
Multivariate strong invariance principles in Markov chain Monte Carlo
by: Banerjee, Arka, et al.
Published: (2022)
by: Banerjee, Arka, et al.
Published: (2022)
On Hamiltonian Monte Carlo for Gaussian Random Variables with Random Hamiltonians
by: Lu, Yingdong, et al.
Published: (2026)
by: Lu, Yingdong, et al.
Published: (2026)
Parallelized Midpoint Randomization for Langevin Monte Carlo
by: Yu, Lu, et al.
Published: (2024)
by: Yu, Lu, et al.
Published: (2024)
A calculus for Markov chain Monte Carlo: studying approximations in algorithms
by: Caprio, Rocco, et al.
Published: (2023)
by: Caprio, Rocco, et al.
Published: (2023)
The Quantization Monte Carlo method for solving radiative transport equations
by: Laguzet, Laetitia, et al.
Published: (2023)
by: Laguzet, Laetitia, et al.
Published: (2023)
GPU-Accelerated Sequential Monte Carlo for Bayesian Spectral Analysis
by: Nabika, Tomohiro, et al.
Published: (2026)
by: Nabika, Tomohiro, et al.
Published: (2026)
Zigzag path connects two Monte Carlo samplers: Hamiltonian counterpart to a piecewise deterministic Markov process
by: Nishimura, Akihiko, et al.
Published: (2021)
by: Nishimura, Akihiko, et al.
Published: (2021)
Non-asymptotic Analysis of Diffusion Annealed Langevin Monte Carlo for Generative Modelling
by: Cordero-Encinar, Paula, et al.
Published: (2025)
by: Cordero-Encinar, Paula, et al.
Published: (2025)
Second order quantitative bounds for unadjusted generalized Hamiltonian Monte Carlo
by: Camrud, Evan, et al.
Published: (2023)
by: Camrud, Evan, et al.
Published: (2023)
The bilateral generalized inverse Gaussian process with applications to financial modeling
by: Agazzotti, Gaetano, et al.
Published: (2024)
by: Agazzotti, Gaetano, et al.
Published: (2024)
Complexity of Markov Chain Monte Carlo for Generalized Linear Models
by: Chak, Martin, et al.
Published: (2025)
by: Chak, Martin, et al.
Published: (2025)
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
by: Dalalyan, Arnak S., et al.
Published: (2017)
by: Dalalyan, Arnak S., et al.
Published: (2017)
A Multi-level Monte Carlo simulation for invariant distribution of Markovian switching Lévy-driven SDEs with super-linearly growth coefficients
by: Nguyen, Hoang-Viet, et al.
Published: (2024)
by: Nguyen, Hoang-Viet, et al.
Published: (2024)
Fractals of Simple Random Walks in Two Dimensions: A Monte Carlo Study
by: Zhou, Jiang, et al.
Published: (2026)
by: Zhou, Jiang, et al.
Published: (2026)
Mad Props: Parallelism in Markov Chain Monte Carlo Through the Lens of the Infinite Proposal Limit
by: Glatt-Holtz, Nathan E., et al.
Published: (2026)
by: Glatt-Holtz, Nathan E., et al.
Published: (2026)
A coupling-based approach to f-divergences diagnostics for Markov chain Monte Carlo
by: Corenflos, Adrien, et al.
Published: (2025)
by: Corenflos, Adrien, et al.
Published: (2025)
The Wigner distribution of Gaussian tempered generalized stochastic processes
by: Wahlberg, Patrik
Published: (2025)
by: Wahlberg, Patrik
Published: (2025)
Reflection coupling for unadjusted generalized Hamiltonian Monte Carlo in the nonconvex stochastic gradient case
by: Chak, Martin, et al.
Published: (2023)
by: Chak, Martin, et al.
Published: (2023)
Non-asymptotic estimates for accelerated high order Langevin Monte Carlo algorithms
by: Neufeld, Ariel, et al.
Published: (2024)
by: Neufeld, Ariel, et al.
Published: (2024)
On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers
by: Durmus, Alain, et al.
Published: (2023)
by: Durmus, Alain, et al.
Published: (2023)
Accelerating Hamiltonian Monte Carlo for Bayesian Inference in Neural Networks and Neural Operators
by: Thiagarajan, Ponkrshnan, et al.
Published: (2025)
by: Thiagarajan, Ponkrshnan, et al.
Published: (2025)
Reverse-BSDE Monte Carlo
by: Batista, Jairon H. N., et al.
Published: (2025)
by: Batista, Jairon H. N., et al.
Published: (2025)
Monte Carlo on a single sample
by: Detering, Nils, et al.
Published: (2025)
by: Detering, Nils, et al.
Published: (2025)
Markov Chain Monte Carlo with Gaussian Process Emulation for a 1D Hemodynamics Model of CTEPH
by: Kachabi, Amirreza, et al.
Published: (2024)
by: Kachabi, Amirreza, et al.
Published: (2024)
Algorithms and Scientific Software for Quasi-Monte Carlo, Fast Gaussian Process Regression, and Scientific Machine Learning
by: Sorokin, Aleksei G.
Published: (2025)
by: Sorokin, Aleksei G.
Published: (2025)
Efficient stochastic simulation of piecewise-deterministic Markov processes and its application to the Morris-Lecar model of neural dynamics
by: Pikovsky, Arkady
Published: (2025)
by: Pikovsky, Arkady
Published: (2025)
Analytic property of generalized scale functions for standard processes with no negative jumps and its application to quasi-stationary distributions
by: Noba, Kei, et al.
Published: (2023)
by: Noba, Kei, et al.
Published: (2023)
A graph-space optimal transport FWI approach based on κ-generalized Gaussian distribution
by: da Silva, Sérgio Luiz E. F., et al.
Published: (2024)
by: da Silva, Sérgio Luiz E. F., et al.
Published: (2024)
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
by: Yang, Shangda, et al.
Published: (2024)
by: Yang, Shangda, et al.
Published: (2024)
Analytic and Monte Carlo Approximations to the Distribution of the First Passage Time of the Drifted Diffusion with Stochastic Resetting and Mixed Boundary Conditions
by: Magalang, Juan, et al.
Published: (2023)
by: Magalang, Juan, et al.
Published: (2023)
Tail-Sensitive KL and Rényi Convergence of Unadjusted Hamiltonian Monte Carlo via One-Shot Couplings
by: Bou-Rabee, Nawaf, et al.
Published: (2026)
by: Bou-Rabee, Nawaf, et al.
Published: (2026)
On the Mathematical foundations of Diffusion Monte Carlo
by: Caffarel, Michel, et al.
Published: (2024)
by: Caffarel, Michel, et al.
Published: (2024)
Perturbation Analysis of Markov Chain Monte Carlo for Graphical Models
by: Lin, Na, et al.
Published: (2023)
by: Lin, Na, et al.
Published: (2023)
Similar Items
-
Continuous Gaussian mixture solution for linear Bayesian inversion with application to Laplace priors
by: Flock, Rafael, et al.
Published: (2024) -
Use of Lambert W function in the simulation of Weibull and non-Weibull distributions
by: Patra, Subhashree, et al.
Published: (2025) -
Regime-Switching Langevin Monte Carlo Algorithms
by: Wang, Xiaoyu, et al.
Published: (2025) -
Efficient variance-based reliability sensitivity analysis for Monte Carlo methods
by: Most, Thomas
Published: (2024) -
Generalized Sequential Monte Carlo Sampling for Redistricting Simulation
by: O'Sullivan, Philip, et al.
Published: (2026)