The Loss Does Not See the Basis, but Adam Does
Gradient descent on a factored model W = UV^top is implicitly biased toward low-rank solutions, while Adam, starting from the same small initialization, is not. We trace the difference to the gauge symmetry of the loss, its invariance under (U, V) mapsto (UQ, VQ). Gradient flow's low-rank mechanism is available to an optimizer only if that optimizer is gauge-equivariant, a condition necessary for the transfer but not sufficient for low-rank recovery. Gradient descent, momentum, "shared-scalar" A
Record details
Published: 4 August 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Bias & fairness
Retrieved: 12 August 2026
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ethics.ai (4 August 2026), “The Loss Does Not See the Basis, but Adam Does,” evidence record 18389, https://ethics.ai/record/18389 (originally published by HuggingFace Daily Papers).
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