Langevin-Informed Transfer Learning: Replacing Target Samples by Black-Box Feedback

arXiv:2610.01522 · cs.LG, stat.ML · Submitted 2026-10-01 · Read on arXiv

cs.LG, stat.ML

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• Langevin Dynamics — 24× in this paper · explained in 2 episodes
• Transfer Learning — 21× in this paper · explained in 10 episodes
• Accuracy — 16× in this paper · explained in 1 episode
• Adaptation — 11× in this paper · explained in 1 episode
• Anisotropy — 11× in this paper · explained in 3 episodes
• Stochastic Dynamics — 11× in this paper · explained in 2 episodes
• Diffusion Model — 10× in this paper · explained in 8 episodes
• Diffusion Models — 10× in this paper · explained in 6 episodes
• Representation Learning — 9× in this paper · explained in 2 episodes
• Steering — 9× in this paper · explained in 2 episodes
• Distribution Shift — 7× in this paper · explained in 5 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Generative Model — 5× in this paper · explained in 2 episodes
• Generative Models — 5× in this paper · explained in 2 episodes
• Langevin-Informed Transfer Learning — 5× in this paper
• Latent Space — 5× in this paper · explained in 7 episodes
• Meta-learning — 4× in this paper · explained in 2 episodes
• Regularization — 4× in this paper · explained in 3 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Covariate Shift — 3× in this paper · explained in 2 episodes
• Domain Adaptation — 3× in this paper · explained in 5 episodes
• Latent Diffusion Model — 3× in this paper · explained in 2 episodes
• Latent Diffusion Models — 3× in this paper · explained in 2 episodes
• Spectral Gap — 3× in this paper · explained in 5 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Adversarial Training — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Curse of Dimensionality — 2× in this paper · explained in 6 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Gradient Flow — 2× in this paper · explained in 2 episodes
• Hilbert Space — 2× in this paper · explained in 2 episodes
• Latent Representation — 2× in this paper · explained in 2 episodes
• Latent Representations — 2× in this paper · explained in 3 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Metastability — 2× in this paper · explained in 2 episodes
• Stochastic Gradient Langevin Dynamics — 2× in this paper
• System Identification — 2× in this paper · explained in 3 episodes
• Theoretical Guarantees — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• True Positive Rate — 2× in this paper
• Accountability — 1× in this paper · explained in 2 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Diffusion Processes — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Equal Opportunity — 1× in this paper
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Latent Dynamics — 1× in this paper · explained in 2 episodes
• Limit Cycles — 1× in this paper · explained in 2 episodes
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation

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