Kinetic Interacting Particle Langevin Monte Carlo

arXiv:2407.05790 · stat.CO, stat.ML · Submitted 2024-07-08 · Read on arXiv

stat.CO, stat.ML

Submitted: 2024-07-08

Updated: 2026-09-15

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 6× in this paper · explained in 1 episode
• Kinetic Interacting Particle Langevin Monte Carlo — 5× in this paper
• Diffusion Process — 4× in this paper · explained in 2 episodes
• Langevin Dynamics — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Bayesian Neural Network — 3× in this paper
• Inverse Problem — 3× in this paper · explained in 2 episodes
• Theoretical Guarantees — 3× in this paper · explained in 2 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Area Below the Curve — 1× in this paper
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Diffusion Processes — 1× in this paper · explained in 2 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Non-asymptotic Analysis — 1× in this paper · explained in 2 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Wasserstein Distance — 1× in this paper · explained in 4 episodes

Sources

• A Multiscale Perspective on Maximum Marginal Likelihood Estimation
• Gradient flows for empirical Bayes in high-dimensional linear models

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