Time-Inhomogeneous Preconditioned Langevin Dynamics
Fuente:
arXiv
Saved in:
| Main Authors: | Falk, Alexander, Nagler, Laurenz, Habring, Andreas, Pock, Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Parallelized Midpoint Randomization for Langevin Monte Carlo
by: Yu, Lu, et al.
Published: (2024)
by: Yu, Lu, et al.
Published: (2024)
Efficient Sampling on Riemannian Manifolds via Langevin MCMC
by: Cheng, Xiang, et al.
Published: (2024)
by: Cheng, Xiang, et al.
Published: (2024)
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)
High-dimensional Asymptotics of Langevin Dynamics in Spiked Matrix Models
by: Liang, Tengyuan, et al.
Published: (2022)
by: Liang, Tengyuan, et al.
Published: (2022)
Sampling and estimation on manifolds using the Langevin diffusion
by: Bharath, Karthik, et al.
Published: (2023)
by: Bharath, Karthik, 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)
Concentration of the Langevin Algorithm's Stationary Distribution
by: Altschuler, Jason M., et al.
Published: (2022)
by: Altschuler, Jason M., et al.
Published: (2022)
A Dynamical System View of Langevin-Based Non-Convex Sampling
by: Karimi, Mohammad Reza, et al.
Published: (2022)
by: Karimi, Mohammad Reza, et al.
Published: (2022)
Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures
by: Miranda, Charles, et al.
Published: (2023)
by: Miranda, Charles, et al.
Published: (2023)
kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients
by: Lytras, Iosif, et al.
Published: (2025)
by: Lytras, Iosif, et al.
Published: (2025)
Convergence of Kinetic Langevin Monte Carlo on Lie groups
by: Kong, Lingkai, et al.
Published: (2024)
by: Kong, Lingkai, et al.
Published: (2024)
High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm
by: Srinivasan, Vishwak, et al.
Published: (2024)
by: Srinivasan, Vishwak, et al.
Published: (2024)
Diffusion at Absolute Zero: Langevin Sampling Using Successive Moreau Envelopes [conference paper]
by: Habring, Andreas, et al.
Published: (2025)
by: Habring, Andreas, et al.
Published: (2025)
Non-asymptotic analysis of Langevin-type Monte Carlo algorithms
by: Nakakita, Shogo
Published: (2023)
by: Nakakita, Shogo
Published: (2023)
Dynamic Structural Causal Models
by: Boeken, Philip, et al.
Published: (2024)
by: Boeken, Philip, et al.
Published: (2024)
Product of Gaussian Mixture Diffusion Model for non-linear MRI Inversion
by: Nagler, Laurenz, et al.
Published: (2025)
by: Nagler, Laurenz, et al.
Published: (2025)
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)
Matching and mixing: Matchability of graphs under Markovian error
by: Li, Zhirui, et al.
Published: (2026)
by: Li, Zhirui, et al.
Published: (2026)
Liouville PDE-based sliced-Wasserstein flow
by: Cooper, Jayshawn, et al.
Published: (2025)
by: Cooper, Jayshawn, et al.
Published: (2025)
Complexity of Markov Chain Monte Carlo for Generalized Linear Models
by: Chak, Martin, et al.
Published: (2025)
by: Chak, Martin, et al.
Published: (2025)
Sampling from multimodal distributions with warm starts: Non-asymptotic bounds for the Reweighted Annealed Leap-Point Sampler
by: Lee, Holden, et al.
Published: (2025)
by: Lee, Holden, et al.
Published: (2025)
Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions
by: Garg, Jhanvi, et al.
Published: (2025)
by: Garg, Jhanvi, et al.
Published: (2025)
On Accelerated Mixing of the No-U-turn Sampler
by: Oberdörster, Stefan
Published: (2025)
by: Oberdörster, Stefan
Published: (2025)
WeSpeR: Computing non-linear shrinkage formulas for the weighted sample covariance
by: Oriol, Benoit
Published: (2024)
by: Oriol, Benoit
Published: (2024)
Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities
by: Li, Matthew T. C., et al.
Published: (2024)
by: Li, Matthew T. C., et al.
Published: (2024)
Entropy contraction of the Gibbs sampler under log-concavity
by: Ascolani, Filippo, et al.
Published: (2024)
by: Ascolani, Filippo, et al.
Published: (2024)
Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems
by: Saidi, Tristan Luca, et al.
Published: (2026)
by: Saidi, Tristan Luca, et al.
Published: (2026)
WHOMP: Optimizing Randomized Controlled Trials via Wasserstein Homogeneity
by: Xu, Shizhou, et al.
Published: (2024)
by: Xu, Shizhou, et al.
Published: (2024)
Forecast collapse of transformer-based models under squared loss in financial time series
by: Andreoletti, Pierre
Published: (2026)
by: Andreoletti, Pierre
Published: (2026)
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)
Statistical limits of correlation detection in trees
by: Ganassali, Luca, et al.
Published: (2022)
by: Ganassali, Luca, et al.
Published: (2022)
Probabilistic Conformal Prediction with Approximate Conditional Validity
by: Plassier, Vincent, et al.
Published: (2024)
by: Plassier, Vincent, et al.
Published: (2024)
Fast Rates for Nonstationary Weighted Risk Minimization
by: Brock, Tobias, et al.
Published: (2026)
by: Brock, Tobias, et al.
Published: (2026)
An Inertial Langevin Algorithm
by: Falk, Alexander, et al.
Published: (2025)
by: Falk, Alexander, et al.
Published: (2025)
Diffusion Models with Heavy-Tailed Targets: Score Estimation and Sampling Guarantees
by: Yu, Yifeng, et al.
Published: (2026)
by: Yu, Yifeng, et al.
Published: (2026)
The optimal betting wealth growth rate
by: Ram, Ashwin, et al.
Published: (2026)
by: Ram, Ashwin, et al.
Published: (2026)
Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model
by: Wortsman-Zurich, Arie, et al.
Published: (2026)
by: Wortsman-Zurich, Arie, et al.
Published: (2026)
Bayesian Inference with Shaped Deep Non-linear MLPs
by: Hanin, Boris, et al.
Published: (2026)
by: Hanin, Boris, et al.
Published: (2026)
Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features
by: Caprio, Michele, et al.
Published: (2026)
by: Caprio, Michele, et al.
Published: (2026)
Power one sequential tests exist for weakly compact $\mathscr P$ against $\mathscr P^c$
by: Ram, Ashwin, et al.
Published: (2026)
by: Ram, Ashwin, et al.
Published: (2026)
Similar Items
-
Parallelized Midpoint Randomization for Langevin Monte Carlo
by: Yu, Lu, et al.
Published: (2024) -
Efficient Sampling on Riemannian Manifolds via Langevin MCMC
by: Cheng, Xiang, et al.
Published: (2024) -
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
by: Dalalyan, Arnak S., et al.
Published: (2017) -
High-dimensional Asymptotics of Langevin Dynamics in Spiked Matrix Models
by: Liang, Tengyuan, et al.
Published: (2022) -
Sampling and estimation on manifolds using the Langevin diffusion
by: Bharath, Karthik, et al.
Published: (2023)