Convergence of Dirichlet Forms for MCMC Optimal Scaling with Dependent Target Distributions on Large Graphs
Fuente:
arXiv
Saved in:
| Main Author: | Ning, Ning |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Sampling on Riemannian Manifolds via Langevin MCMC
by: Cheng, Xiang, et al.
Published: (2024)
by: Cheng, Xiang, et al.
Published: (2024)
Convergence Bounds for Sequential Monte Carlo on Multimodal Distributions using Soft Decomposition
by: Lee, Holden, et al.
Published: (2024)
by: Lee, Holden, et al.
Published: (2024)
On Convergence of the Alternating Directions SGHMC Algorithm
by: Ghosh, Soumyadip, et al.
Published: (2024)
by: Ghosh, Soumyadip, et al.
Published: (2024)
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
by: Wang, Hai-Xiao, et al.
Published: (2024)
by: Wang, Hai-Xiao, et al.
Published: (2024)
Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions
by: Garg, Jhanvi, et al.
Published: (2025)
by: Garg, Jhanvi, et al.
Published: (2025)
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
by: Banerjee, Sayan, et al.
Published: (2024)
by: Banerjee, Sayan, et al.
Published: (2024)
Optimal Transportation and Alignment Between Gaussian Measures
by: Dandapanthula, Sanjit, et al.
Published: (2025)
by: Dandapanthula, Sanjit, et al.
Published: (2025)
4+3 Phases of Compute-Optimal Neural Scaling Laws
by: Paquette, Elliot, et al.
Published: (2024)
by: Paquette, Elliot, et al.
Published: (2024)
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)
Optimal sequential tests yield log-optimal e-processes
by: Ram, Ashwin, et al.
Published: (2026)
by: Ram, Ashwin, et al.
Published: (2026)
Concentration of the Langevin Algorithm's Stationary Distribution
by: Altschuler, Jason M., et al.
Published: (2022)
by: Altschuler, Jason M., et al.
Published: (2022)
Hamiltonian Monte Carlo with Asymmetrical Momentum Distributions
by: Ghosh, Soumyadip, et al.
Published: (2021)
by: Ghosh, Soumyadip, et al.
Published: (2021)
Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model
by: Dumitriu, Ioana, et al.
Published: (2023)
by: Dumitriu, Ioana, et al.
Published: (2023)
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees
by: Chatterjee, Sabyasachi, et al.
Published: (2019)
by: Chatterjee, Sabyasachi, et al.
Published: (2019)
Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
by: Ponnoprat, Donlapark, et al.
Published: (2026)
by: Ponnoprat, Donlapark, 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)
Variational Optimality of Föllmer Processes in Generative Diffusions
by: Chen, Yifan, et al.
Published: (2026)
by: Chen, Yifan, et al.
Published: (2026)
Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels
by: Gu, Yi
Published: (2025)
by: Gu, Yi
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)
Graph Alignment via Birkhoff Relaxation
by: Varma, Sushil Mahavir, et al.
Published: (2025)
by: Varma, Sushil Mahavir, et al.
Published: (2025)
Theoretical guarantees for neural control variates in MCMC
by: Belomestny, Denis, et al.
Published: (2023)
by: Belomestny, Denis, et al.
Published: (2023)
Convergence of Kinetic Langevin Monte Carlo on Lie groups
by: Kong, Lingkai, et al.
Published: (2024)
by: Kong, Lingkai, et al.
Published: (2024)
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
by: Zhang, Yihan, et al.
Published: (2024)
by: Zhang, Yihan, et al.
Published: (2024)
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
by: Kovačević, Filip, et al.
Published: (2025)
by: Kovačević, Filip, et al.
Published: (2025)
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence
by: Pananjady, Ashwin, et al.
Published: (2024)
by: Pananjady, Ashwin, et al.
Published: (2024)
Optimality of Approximate Message Passing Algorithms for Spiked Matrix Models with Rotationally Invariant Noise
by: Dudeja, Rishabh, et al.
Published: (2024)
by: Dudeja, Rishabh, et al.
Published: (2024)
Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
by: Zhang, Yihan, et al.
Published: (2026)
by: Zhang, Yihan, et al.
Published: (2026)
Convergence of coordinate ascent variational inference for log-concave measures via optimal transport
by: Arnese, Manuel, et al.
Published: (2024)
by: Arnese, Manuel, et al.
Published: (2024)
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
by: He, Ye, et al.
Published: (2024)
by: He, Ye, et al.
Published: (2024)
Statistical limits of correlation detection in trees
by: Ganassali, Luca, et al.
Published: (2022)
by: Ganassali, Luca, et al.
Published: (2022)
Detecting Arbitrary Planted Subgraphs in Random Graphs
by: Elimelech, Dor, et al.
Published: (2025)
by: Elimelech, Dor, et al.
Published: (2025)
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
by: Mou, Wenlong, et al.
Published: (2021)
by: Mou, Wenlong, et al.
Published: (2021)
Scaling Limits of Long-Context Transformers
by: Bruno, Giuseppe, et al.
Published: (2026)
by: Bruno, Giuseppe, et al.
Published: (2026)
Geometric Gaussian Approximations of Probability Distributions
by: Da Costa, Nathaël, et al.
Published: (2025)
by: Da Costa, Nathaël, et al.
Published: (2025)
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity
by: Lavenant, Hugo, et al.
Published: (2024)
by: Lavenant, Hugo, et al.
Published: (2024)
Limit theorems of Chatterjee's rank correlation
by: Lin, Zhexiao, et al.
Published: (2022)
by: Lin, Zhexiao, et al.
Published: (2022)
Off-the-grid prediction and testing for linear combination of translated features
by: Butucea, Cristina, et al.
Published: (2022)
by: Butucea, Cristina, et al.
Published: (2022)
Simultaneous off-the-grid learning of mixtures issued from a continuous dictionary
by: Butucea, Cristina, et al.
Published: (2022)
by: Butucea, Cristina, et al.
Published: (2022)
A Fourier representation of kernel Stein discrepancy with application to Goodness-of-Fit tests for measures on infinite dimensional Hilbert spaces
by: Wynne, George, et al.
Published: (2022)
by: Wynne, George, et al.
Published: (2022)
Off-the-grid learning of mixtures from a continuous dictionary
by: Butucea, Cristina, et al.
Published: (2022)
by: Butucea, Cristina, et al.
Published: (2022)
Similar Items
-
Efficient Sampling on Riemannian Manifolds via Langevin MCMC
by: Cheng, Xiang, et al.
Published: (2024) -
Convergence Bounds for Sequential Monte Carlo on Multimodal Distributions using Soft Decomposition
by: Lee, Holden, et al.
Published: (2024) -
On Convergence of the Alternating Directions SGHMC Algorithm
by: Ghosh, Soumyadip, et al.
Published: (2024) -
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
by: Wang, Hai-Xiao, et al.
Published: (2024) -
Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions
by: Garg, Jhanvi, et al.
Published: (2025)