Author

F. Wang

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#machine learning Preprint Feb 2026

Constant-Stepsize Stochastic Approximation: Finite-Time Convergence, Gaussian Approximation, and Tail Bounds

Beyond strong convexity, for general convex SGD, a Gibbs limiting law is identified and a pre-limit Wasserstein approximation error under stability and Stein-equation hypothesis is proved, which are validated numerically.

Zedong Wang, Yu-Yang Wang, Ijay Narang et al. · 1 citation

Preprint Jul 2026

Functional and Secure Code Generation with Task Vectors

A novel method is developed, SecVecCoder, leveraging task vectors to produce trustworthy code that is simultaneously functional and secure without the need for post-generation adjustment, and achieves a decoding latency within 0.6% of the base model's, on average.

F. Wang, Anudeep Das, M. Nagappan et al. · 0 citations