Tag: iterative
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Iterative Tilting for Diffusion Fine-Tuning
Iterative Tilting for Diffusion Fine-Tuning arXiv:2512.03234v1 Announce Type: new Abstract: We introduce iterative tilting, a gradient-free method for fine-tuning diffusion models toward reward-tilted distributions. The method decomposes a large reward tilt $exp(lambda r)$ into $N$ sequential smaller tilts, each admitting a tractable score update via first-order Taylor expansion. This requires only forward evaluations of the…
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Exponential Convergence Guarantees for Iterative Markovian Fitting
Exponential Convergence Guarantees for Iterative Markovian Fitting arXiv:2510.20871v1 Announce Type: new Abstract: The Schr”odinger Bridge (SB) problem has become a fundamental tool in computational optimal transport and generative modeling. To address this problem, ideal methods such as Iterative Proportional Fitting and Iterative Markovian Fitting (IMF) have been proposed-alongside practical approximations like Diffusion Schr”odinger Bridge and…
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EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python
EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python arXiv:2503.16753v1 Announce Type: new Abstract: Iterative learning procedures are ubiquitous in machine learning and modern statistics. Regularision is typically required to prevent inflating the expected loss of a procedure in later iterations via the propagation of noise inherent in the data. Significant emphasis has been placed…