3 papers
stat.ML2026
RELTA-SGLD: Relative-Growth Localized Taming for Nonconvex Stochastic-Gradient Langevin Learning
Yiwei Zhou, Ziheng Chen
We introduce RELTA-SGLD, a taming scheme that stabilizes superlinear stochastic-gradient updates while reducing unnecessary suppression of the original learning drift. A threshold…
stat.ML2026
Score Accuracy Along the Forward Diffusion Does Not Certify Numerical Stability in Diffusion Sampling
Yiwei Zhou
Score matching controls average error under the forward marginals, but a discretized reverse-time sampler evaluates the learned score along its own trajectory. We show that small f…
stat.ME2026
Deterministic Denominator Design for Localized Tamed Stochastic Gradient Langevin Dynamics
Yiwei Zhou, Ziheng Chen
If the denominator in a tamed stochastic gradient Langevin update uses the current stochastic-gradient draw, the conditional mean can be biased even when the stochastic-gradient or…