Local case-control sampling

Sat, 18 Jul 2026 10:05:43 +0000

Definition

Local case-control sampling is a strategy used primarily in training contrastive learning models or recommendation systems. Instead of randomly selecting negative samples, it identifies ‘hard negatives’—data points that are semantically similar to the positive instance but belong to a different class. By focusing on these difficult cases, the model learns more robust feature representations and improves discrimination capabilities, leading to better convergence and performance compared to random sampling methods.

Langevin

Sat, 18 Jul 2026 09:33:21 +0000

Definition

Langevin dynamics incorporates random noise and damping forces to explore energy landscapes efficiently. In AI, it is primarily used in sampling methods like Hamiltonian Monte Carlo or Stochastic Gradient Langevin Dynamics (SGLD) for Bayesian inference. It helps avoid local minima in optimization by introducing controlled randomness, ensuring better convergence in complex probabilistic models.

Summary

Langevin refers to stochastic differential equations, specifically Langevin dynamics, used to sample from probability distributions by simulating physical motion with friction and noise.

Sampling on English AI Terms Dictionary

Local case-control sampling

Definition

Langevin

Definition

Summary