الباحثون

Tianbao Yang

المنشورات 2

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A Single-Loop, Constant-Batch First-Order Penalty Method for Stochastic Bilevel Optimization

Xingyu Chen, Ming Yang, Quanqi Hu وآخرون · 2026

Recent advances in penalty-based methods for stochastic bilevel optimization (SBO) have eliminated the need for second-order derivative oracles. However, for stochastic nonconvex-strongly convex bilevel problems, existing first-order methods typically rely on nested loops and/or large batch sizes for attaining $O(ε^{-6 …

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From Pixels, Without Pre-training: Joint Generative and Self-Supervised Representation Learning in One Model

Strong image generation models are conditioned on class labels, aligned to frozen pretrained encoders, or built on separately trained autoencoders. While effective, generation then depends on supervision or pretraining: labels must be annotated, and encoders or autoencoders pretrained for the target domain. We study jo …

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