Cover Image

Proximal Hamiltonian Monte Carlo

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shukla, Apratim, Vats, Dootika, Chi, Eric C.
Format:	Preprint
Published:	2025
Subjects:	Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MCMC Importance Sampling via Moreau-Yosida Envelopes
by: Shukla, Apratim, et al.
Published: (2025)

Hamiltonian Monte Carlo for (Physics) Dummies
by: Mukherjee, Arghya, et al.
Published: (2026)

Estimating Monte Carlo variance from multiple Markov chains
by: Gupta, Kushagra, et al.
Published: (2020)

Multivariate strong invariance principles in Markov chain Monte Carlo
by: Banerjee, Arka, et al.
Published: (2022)

Estimating Monte Carlo variance from multiple Markov chains
by: Kushagra Gupta, et al.
Published: (2025)

On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent
by: Singh, Rahul, et al.
Published: (2023)

Efficient Multivariate Initial Sequence Estimators for MCMC
by: Banerjee, Arka, et al.
Published: (2024)

Exact MCMC for Intractable Proposals
by: Kakkad, Dwija, et al.
Published: (2024)

Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data
by: Mukherjee, Arghya, et al.
Published: (2025)

Solving the Poisson equation using coupled Markov chains
by: Douc, Randal, et al.
Published: (2022)

Multi-fidelity Hamiltonian Monte Carlo
by: Patel, Dhruv V., et al.
Published: (2024)

Particle Hamiltonian Monte Carlo
by: Amri, Alaa, et al.
Published: (2025)

Counterdiabatic Hamiltonian Monte Carlo
by: Cohn-Gordon, Reuben, et al.
Published: (2026)

A Monte Carlo Approach for Nonsmooth Convex Optimization via Proximal Splitting Algorithms
by: Di, Nicholas, et al.
Published: (2025)

Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo
by: Robnik, Jakob, et al.
Published: (2025)

Microcanonical Hamiltonian Monte Carlo
by: Robnik, Jakob, et al.
Published: (2022)

Adaptive tuning of Hamiltonian Monte Carlo methods
by: Akhmatskaya, Elena, et al.
Published: (2025)

Black-box unadjusted Hamiltonian Monte Carlo
by: Robnik, Jakob, et al.
Published: (2024)

Preconditioning Hamiltonian Monte Carlo by minimizing Fisher Divergence
by: Seyboldt, Adrian, et al.
Published: (2026)

Noisy Hamiltonian Monte Carlo for doubly-intractable distributions
by: Stoehr, Julien, et al.
Published: (2017)

Repelling-Attracting Hamiltonian Monte Carlo
by: Vishwanath, Siddharth, et al.
Published: (2024)

Self-Tuning Hamiltonian Monte Carlo for Accelerated Sampling
by: Christiansen, Henrik, et al.
Published: (2023)

Hamiltonian Monte Carlo enhanced by Exact Diagonalization
by: Temmen, Finn L., et al.
Published: (2026)

Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs?
by: Luu, Son, et al.
Published: (2024)

Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory
by: Liang, Jiajun, et al.
Published: (2024)

Dynamic guessing for Hamiltonian Monte Carlo with embedded numerical root-finding
by: Groves, Teddy, et al.
Published: (2025)

Super-Efficient Exact Hamiltonian Monte Carlo for the von Mises Distribution
by: Pakman, Ari
Published: (2023)

Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo
by: Nagar, Lorenzo, et al.
Published: (2023)

Understanding the Hamiltonian Monte Carlo through its Physics Fundamentals and Examples
by: Granados, Abraham, et al.
Published: (2025)

ATLAS: Adapting Trajectory Lengths and Step-Size for Hamiltonian Monte Carlo
by: Modi, Chirag
Published: (2024)

Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo
by: Turok, Gilad, et al.
Published: (2024)

Bayesian analysis of flexible Heckman selection models using Hamiltonian Monte Carlo
by: Lim, Heeju, et al.
Published: (2025)

GIST: Gibbs self-tuning for locally adaptive Hamiltonian Monte Carlo
by: Bou-Rabee, Nawaf, et al.
Published: (2024)

Fast Riemannian-manifold Hamiltonian Monte Carlo for hierarchical Gaussian-process models
by: Hayakawa, Takashi, et al.
Published: (2025)

On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers
by: Durmus, Alain, et al.
Published: (2023)

Numerical Generalized Randomized Hamiltonian Monte Carlo for piecewise smooth target densities
by: Tran, Jimmy Huy, et al.
Published: (2025)

When does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm?
by: Chen, Yuansi, et al.
Published: (2023)

Adaptive Riemannian Manifold Hamiltonian Monte Carlo with Hierarchical Metric
by: Kailas, Miika, et al.
Published: (2026)

MPL-HMC: A Tunable Parameterized Leapfrog Framework for Robust Hamiltonian Monte Carlo
by: Bhattacharya, Sourabh
Published: (2026)

A quantum Monte Carlo algorithm for arbitrary high-spin Hamiltonians
by: Babakhani, Arman, et al.
Published: (2025)