Tag: bilevel
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Non-Stationary Functional Bilevel Optimization
Non-Stationary Functional Bilevel Optimization arXiv:2601.15363v1 Announce Type: new Abstract: Functional bilevel optimization (FBO) provides a powerful framework for hierarchical learning in function spaces, yet current methods are limited to static offline settings and perform suboptimally in online, non-stationary scenarios. We propose SmoothFBO, the first algorithm for non-stationary FBO with both theoretical guarantees and practical scalability.…
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From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation
From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation arXiv:2510.07624v1 Announce Type: new Abstract: Generative models form the backbone of modern machine learning, underpinning state-of-the-art systems in text, vision, and multimodal applications. While Maximum Likelihood Estimation has traditionally served as the dominant training paradigm, recent work have highlighted its limitations, particularly in…