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

DISCS: A Benchmark for Discrete Sampling NIPS 2023
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee NIPS 2023
Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier NIPS 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics NIPS 2023
Improving multiple-try Metropolis with local balancing JMLR 2023
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization NIPS 2023
A Bayesian Take on Gaussian Process Networks NIPS 2023
Training Chain-of-Thought via Latent-Variable Inference NIPS 2023
GFlowNet Foundations JMLR 2023
Sampling random graph homomorphisms and applications to network data analysis JMLR 2023
Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC JMLR 2023
Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance JMLR 2023
Microcanonical Hamiltonian Monte Carlo JMLR 2023
Gaussian Differential Privacy on Riemannian Manifolds NIPS 2023
Bayesian Spiked Laplacian Graphs JMLR 2023
A Targeted Accuracy Diagnostic for Variational Approximations AISTATS 2023
Learning Energy-based Model via Dual-MCMC Teaching NIPS 2023
Variational Inference for Neyman-Scott Processes AISTATS 2023
Entropy-based Training Methods for Scalable Neural Implicit Samplers NIPS 2023
A Dynamical System View of Langevin-Based Non-Convex Sampling NIPS 2023
History Filtering in Imperfect Information Games: Algorithms and Complexity NIPS 2023
Sparse Additive Gaussian Process Regression JMLR 2022
Score Matched Neural Exponential Families for Likelihood-Free Inference JMLR 2022
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One JMLR 2022
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting JMLR 2022