conftrace_

markov chain monte carlo

725 papers

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Also known as

MCMC

Co-occurring keywords

bayesian inference (1907) variational inference (2069) langevin dynamics (128) hamiltonian monte carlo (92) gibbs sampling (201) stochastic gradient (296) mcmc sampling (70) mixing time (70) sampling algorithm (130) gaussian process (1200)

Papers

Text2Tabular – Reconstructing Tabular Research Data from Scientific Publications ACL 2026
Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange AAAI 2026
From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs AAAI 2025
Piecewise deterministic sampling with splitting schemes JMLR 2025
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025
Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025
GRaMPa: Subword Regularisation by Skewing Uniform Segmentation Distributions with an Efficient Path-counting Markov Model ACL 2025
Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models JMLR 2025
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin ICCV 2025
Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling EMNLP 2025
Modelling Populations of Interaction Networks via Distance Metrics JMLR 2025
Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo JMLR 2025
Sketching in High-Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors JMLR 2025
Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems JMLR 2025
Unified Discrete Diffusion for Categorical Data JMLR 2025
Graph-accelerated Markov Chain Monte Carlo using Approximate Samples JMLR 2025
Geodesic Slice Sampling on the Sphere JMLR 2025
Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics AISTATS 2024
On cyclical MCMC sampling AISTATS 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation NIPS 2024
Piecewise deterministic generative models NIPS 2024
Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract) IJCAI 2024