Gradient-Free Sampling from Generative Models via Stochastic Bounded Extremum Seeking
stat.ML, cs.LG, math.OC, stat.CO
Submitted: 2026-10-03
Updated: 2026-10-03
Project page: https://alexscheinker.github.io/1
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Evolution Strategies as a Scalable Alternative to Reinforcement Learning
- Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors
- PhaseFlow4D: Physically Constrained 4D Beam Reconstruction via Feedback-Guided Latent Diffusion
Related papers
- Behavior of prediction performance metrics with rare events
- Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs
- A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors
- Efficient quadratic entropy with distance sketches
- Embedding-Bias in Conditional Independence Testing
- From Log-Odds to Shapley Values: An Explanatory Geometry for the Weighted Naive Bayes Classifier