Author

Nguyen H. Tran

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#machine learning Preprint Sep 2026

Backpropagated Output Momentum: Relocating Optimizer History from Parameters to Task Space

Optimizer momentum is usually stored as a parameter-sized moving average of past gradients, which makes history costly and fixes each past signal in the coordinates in which it was computed. We introduce Backpropagated Output Momentum (BOM), which instead stores a compact moving average of prediction errors at the mode...

Yu-Chen Li, Zong-Qi Fan, Nguyen H. Tran et al. · 0 citations

#machine learning Preprint Sep 2026

Routing in Gradient Space: Balanced Usage Is Not Expert Specialization

Sparse expert models can distribute traffic evenly while still grouping incompatible training signals within the same experts. We study routing as a gradient-partitioning problem and introduce gradient-aligned routing (GAR), whose load-normalized router objective rewards grouping observations with aligned gradients. On...

Yu-Chen Li, Ming-Yue Du, Zong-Qi Fan et al. · 0 citations