No Free Lunch for Approximate MCMC
Fuente:
arXiv
Saved in:
| Main Authors: | Johndrow, James E., Pillai, Natesh S., Smith, Aaron |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Kac's walk on rotation matrices mixes in $n^2 \log n$ steps
by: Pillai, Natesh S., et al.
Published: (2026)
by: Pillai, Natesh S., et al.
Published: (2026)
Microergodicity implies orthogonality of Matérn fields on bounded domains in $\mathbb{R}^4$
by: Pillai, Natesh S.
Published: (2026)
by: Pillai, Natesh S.
Published: (2026)
No Free Lunch for Stochastic Gradient Langevin Dynamics
by: Pillai, Natesh S., et al.
Published: (2024)
by: Pillai, Natesh S., et al.
Published: (2024)
A Heavily Right Strategy for Statistical Inference with Dependent Studies in Any Dimension
by: Liu, Tianle, et al.
Published: (2025)
by: Liu, Tianle, et al.
Published: (2025)
Adaptive Divide and Conquer with Two Rounds of Communication
by: Kal, Niladri, et al.
Published: (2025)
by: Kal, Niladri, et al.
Published: (2025)
Policy Gradients for Optimal Parallel Tempering MCMC
by: Zhao, Daniel, et al.
Published: (2024)
by: Zhao, Daniel, et al.
Published: (2024)
MCMC-driven learning
by: Bouchard-Côté, Alexandre, et al.
Published: (2024)
by: Bouchard-Côté, Alexandre, et al.
Published: (2024)
Ergodicity of an Adaptive MCMC Sampler under a Probability Bound
by: Chotard, Alexandre
Published: (2026)
by: Chotard, Alexandre
Published: (2026)
Multivariate strong invariance principle and uncertainty assessment for time in-homogeneous cyclic MCMC samplers
by: Li, Haoxiang, et al.
Published: (2024)
by: Li, Haoxiang, et al.
Published: (2024)
Sacred and Profane: from the Involutive Theory of MCMC to Helpful Hamiltonian Hacks
by: Glatt-Holtz, Nathan E., et al.
Published: (2024)
by: Glatt-Holtz, Nathan E., 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)
Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions
by: Pillai, Natesh S.
Published: (2022)
by: Pillai, Natesh S.
Published: (2022)
Mixing on $k$ Columns of the Transvection Walk
by: Pillai, Natesh, et al.
Published: (2026)
by: Pillai, Natesh, et al.
Published: (2026)
Quantifying the Speed-Up from Non-Reversibility in MCMC Tempering Algorithms
by: Roberts, Gareth O., et al.
Published: (2025)
by: Roberts, Gareth O., et al.
Published: (2025)
On MCMC mixing for predictive inference under unidentified transformation models
by: Zhong, Chong, et al.
Published: (2024)
by: Zhong, Chong, et al.
Published: (2024)
Improved Rates of Bootstrap Approximation for the Operator Norm: A Coordinate-Free Approach
by: Lopes, Miles E.
Published: (2022)
by: Lopes, Miles E.
Published: (2022)
Efficient Robust Constrained Signal Detection via Kolmogorov Width Approximations
by: Li, Yikun, et al.
Published: (2026)
by: Li, Yikun, et al.
Published: (2026)
Exact and Approximate Conformal Inference for Multi-Output Regression
by: Johnstone, Chancellor, et al.
Published: (2022)
by: Johnstone, Chancellor, et al.
Published: (2022)
Approximate Computation via Le Cam Simulability
by: Akdemir, Deniz
Published: (2025)
by: Akdemir, Deniz
Published: (2025)
A Framework for Computational Lower Bounds in Nontrivial Norm Approximation
by: Tang, Runshi, et al.
Published: (2026)
by: Tang, Runshi, et al.
Published: (2026)
Using Exponential Histograms to Approximate the Quantiles of Heavy- and Light-Tailed Data
by: Labo, Philip T.
Published: (2024)
by: Labo, Philip T.
Published: (2024)
The No-Underrun Sampler: A Locally-Adaptive, Gradient-Free MCMC Method
by: Bou-Rabee, Nawaf, et al.
Published: (2025)
by: Bou-Rabee, Nawaf, et al.
Published: (2025)
On micromodes in Bayesian posterior distributions and their implications for MCMC
by: Agrawal, Sanket, et al.
Published: (2026)
by: Agrawal, Sanket, et al.
Published: (2026)
A Fast Coordinate Descent Method for High-Dimensional Non-Negative Least Squares using a Unified Sparse Regression Framework
by: Yang, James, et al.
Published: (2024)
by: Yang, James, et al.
Published: (2024)
Iterating marginalized Bayes maps for likelihood maximization with application to nonlinear panel models
by: Wheeler, Jesse, et al.
Published: (2025)
by: Wheeler, Jesse, et al.
Published: (2025)
Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators
by: Chen, Youguang, et al.
Published: (2026)
by: Chen, Youguang, et al.
Published: (2026)
Variance estimation after matching or re-weighting
by: Meng, Xiang, et al.
Published: (2025)
by: Meng, Xiang, et al.
Published: (2025)
Convergence of Dirichlet Forms for MCMC Optimal Scaling with Dependent Target Distributions on Large Graphs
by: Ning, Ning
Published: (2022)
by: Ning, Ning
Published: (2022)
On The MCMC Performance In Bernoulli Group Testing And The Random Max Set-Cover Problem
by: Lovig, Maxwell, et al.
Published: (2024)
by: Lovig, Maxwell, et al.
Published: (2024)
Tracy-Widom, Gaussian, and Bootstrap: Approximations for Leading Eigenvalues in High-Dimensional PCA
by: Dörnemann, Nina, et al.
Published: (2025)
by: Dörnemann, Nina, et al.
Published: (2025)
Element-Free Probability Distributions and Random Partitions
by: Blanchi, Victor, et al.
Published: (2024)
by: Blanchi, Victor, et al.
Published: (2024)
Parallel MCMC Algorithms: Theoretical Foundations, Algorithm Design, Case Studies
by: Glatt-Holtz, Nathan E., et al.
Published: (2022)
by: Glatt-Holtz, Nathan E., et al.
Published: (2022)
On Gaussian Approximation for M-Estimator
by: Imaizumi, Masaaki, et al.
Published: (2020)
by: Imaizumi, Masaaki, et al.
Published: (2020)
A Modified Satterthwaite (1941,1946) Effective Degrees of Freedom Approximation
by: von Davier, Matthias
Published: (2024)
by: von Davier, Matthias
Published: (2024)
Improved distance correlation estimation
by: Monroy-Castillo, Blanca E., et al.
Published: (2024)
by: Monroy-Castillo, Blanca E., et al.
Published: (2024)
On the Approximation Accuracy of Gaussian Variational Inference
by: Katsevich, Anya, et al.
Published: (2023)
by: Katsevich, Anya, et al.
Published: (2023)
Approximation by mixtures of multivariate Erlang distributions
by: Nguyen, Hien Duy
Published: (2026)
by: Nguyen, Hien Duy
Published: (2026)
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures
by: Li, Gen, et al.
Published: (2025)
by: Li, Gen, et al.
Published: (2025)
Quantifying the effectiveness of linear preconditioning in Markov chain Monte Carlo
by: Hird, Max, et al.
Published: (2023)
by: Hird, Max, et al.
Published: (2023)
More Permutations Do Not Always Increase Power: Non-monotonicity in Monte Carlo Permutation Tests
by: Cha, Suman, et al.
Published: (2026)
by: Cha, Suman, et al.
Published: (2026)
Similar Items
-
Kac's walk on rotation matrices mixes in $n^2 \log n$ steps
by: Pillai, Natesh S., et al.
Published: (2026) -
Microergodicity implies orthogonality of Matérn fields on bounded domains in $\mathbb{R}^4$
by: Pillai, Natesh S.
Published: (2026) -
No Free Lunch for Stochastic Gradient Langevin Dynamics
by: Pillai, Natesh S., et al.
Published: (2024) -
A Heavily Right Strategy for Statistical Inference with Dependent Studies in Any Dimension
by: Liu, Tianle, et al.
Published: (2025) -
Adaptive Divide and Conquer with Two Rounds of Communication
by: Kal, Niladri, et al.
Published: (2025)