Sampling from the Mean-Field Stationary Distribution
Fuente:
arXiv
Saved in:
| Main Authors: | Kook, Yunbum, Zhang, Matthew S., Chewi, Sinho, Erdogdu, Murat A., Li, Mufan Bill |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Analysis of Langevin Monte Carlo from Poincaré to Log-Sobolev
by: Chewi, Sinho, et al.
Published: (2021)
by: Chewi, Sinho, et al.
Published: (2021)
Complexity of Non-Log-Concave Sampling in Fisher Information
by: Chewi, Sinho, et al.
Published: (2026)
by: Chewi, Sinho, et al.
Published: (2026)
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
Sampling from Constrained Gibbs Measures: with Applications to High-Dimensional Bayesian Inference
by: Wang, Ruixiao, et al.
Published: (2026)
by: Wang, Ruixiao, et al.
Published: (2026)
Rényi-infinity constrained sampling with $d^3$ membership queries
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
Covariance estimation using Markov chain Monte Carlo
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
Sampling and Integration of Logconcave Functions by Algorithmic Diffusion
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
A proximal gradient algorithm for composite log-concave sampling
by: Liu, Linghai, et al.
Published: (2026)
by: Liu, Linghai, et al.
Published: (2026)
Gaussian mixture layers for neural networks
by: Chewi, Sinho, et al.
Published: (2025)
by: Chewi, Sinho, et al.
Published: (2025)
Zeroth-order Logconcave Sampling
by: Kook, Yunbum, et al.
Published: (2025)
by: Kook, Yunbum, et al.
Published: (2025)
Statistical optimal transport
by: Chewi, Sinho, et al.
Published: (2024)
by: Chewi, Sinho, et al.
Published: (2024)
Stability of the Kim--Milman flow map
by: Chewi, Sinho, et al.
Published: (2025)
by: Chewi, Sinho, et al.
Published: (2025)
DDPM Score Matching and Distribution Learning
by: Chewi, Sinho, et al.
Published: (2025)
by: Chewi, Sinho, et al.
Published: (2025)
Algorithmic warm starts for Hamiltonian Monte Carlo
by: Zhang, Matthew S., et al.
Published: (2026)
by: Zhang, Matthew S., et al.
Published: (2026)
High-accuracy sampling for diffusion models and log-concave distributions
by: Chen, Fan, et al.
Published: (2026)
by: Chen, Fan, et al.
Published: (2026)
Faster logconcave sampling from a cold start in high dimension
by: Kook, Yunbum, et al.
Published: (2025)
by: Kook, Yunbum, et al.
Published: (2025)
Shifted Composition III: Local Error Framework for KL Divergence
by: Altschuler, Jason M., et al.
Published: (2024)
by: Altschuler, Jason M., et al.
Published: (2024)
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
by: Jiang, Yiheng, et al.
Published: (2023)
by: Jiang, Yiheng, et al.
Published: (2023)
Variational inference via radial transport
by: Ghafourpour, Luca, et al.
Published: (2026)
by: Ghafourpour, Luca, et al.
Published: (2026)
Sublinear iterations can suffice even for DDPMs
by: Zhang, Matthew S., et al.
Published: (2025)
by: Zhang, Matthew S., et al.
Published: (2025)
Fast parallel sampling under isoperimetry
by: Anari, Nima, et al.
Published: (2024)
by: Anari, Nima, et al.
Published: (2024)
Fast Tensor Completion via Approximate Richardson Iteration
by: Ghadiri, Mehrdad, et al.
Published: (2025)
by: Ghadiri, Mehrdad, et al.
Published: (2025)
Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression
by: Hanchi, Ayoub El, et al.
Published: (2023)
by: Hanchi, Ayoub El, et al.
Published: (2023)
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
by: He, Ye, et al.
Published: (2024)
by: He, Ye, et al.
Published: (2024)
High-accuracy log-concave sampling with stochastic queries
by: Chen, Fan, et al.
Published: (2026)
by: Chen, Fan, et al.
Published: (2026)
A Geometric Analysis of PCA
by: Hanchi, Ayoub El, et al.
Published: (2025)
by: Hanchi, Ayoub El, et al.
Published: (2025)
Minimax Linear Regression under the Quantile Risk
by: Hanchi, Ayoub El, et al.
Published: (2024)
by: Hanchi, Ayoub El, et al.
Published: (2024)
On the Efficiency of ERM in Feature Learning
by: Hanchi, Ayoub El, et al.
Published: (2024)
by: Hanchi, Ayoub El, et al.
Published: (2024)
Shifted Composition IV: Toward Ballistic Acceleration for Log-Concave Sampling
by: Altschuler, Jason M., et al.
Published: (2025)
by: Altschuler, Jason M., et al.
Published: (2025)
Concentration of the Langevin Algorithm's Stationary Distribution
by: Altschuler, Jason M., et al.
Published: (2022)
by: Altschuler, Jason M., et al.
Published: (2022)
Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games
by: Ocello, Antonio, et al.
Published: (2025)
by: Ocello, Antonio, et al.
Published: (2025)
Large-Sample Properties of Non-Stationary Source Separation for Gaussian Signals
by: Bachoc, François, et al.
Published: (2022)
by: Bachoc, François, et al.
Published: (2022)
Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling
by: Kook, Yunbum, et al.
Published: (2023)
by: Kook, Yunbum, et al.
Published: (2023)
Adaptive Smooth Non-Stationary Bandits
by: Suk, Joe
Published: (2024)
by: Suk, Joe
Published: (2024)
Parametric Mean-Field empirical Bayes in high-dimensional linear regression
by: Lee, Seunghyun, et al.
Published: (2026)
by: Lee, Seunghyun, et al.
Published: (2026)
Bounds in Wasserstein Distance for Locally Stationary Processes
by: Tinio, Jan Nino G., et al.
Published: (2024)
by: Tinio, Jan Nino G., et al.
Published: (2024)
Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
by: Lau, Ivan, et al.
Published: (2025)
by: Lau, Ivan, et al.
Published: (2025)
Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation
by: Wu, Bohan, et al.
Published: (2024)
by: Wu, Bohan, et al.
Published: (2024)
A Rod Flow Model for Adam at the Edge of Stability
by: Regis, Eric, et al.
Published: (2026)
by: Regis, Eric, et al.
Published: (2026)
Rod Flow: A Continuous-Time Model for Gradient Descent at the Edge of Stability
by: Regis, Eric, et al.
Published: (2026)
by: Regis, Eric, et al.
Published: (2026)
Similar Items
-
Analysis of Langevin Monte Carlo from Poincaré to Log-Sobolev
by: Chewi, Sinho, et al.
Published: (2021) -
Complexity of Non-Log-Concave Sampling in Fisher Information
by: Chewi, Sinho, et al.
Published: (2026) -
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
by: Kook, Yunbum, et al.
Published: (2024) -
Sampling from Constrained Gibbs Measures: with Applications to High-Dimensional Bayesian Inference
by: Wang, Ruixiao, et al.
Published: (2026) -
Rényi-infinity constrained sampling with $d^3$ membership queries
by: Kook, Yunbum, et al.
Published: (2024)