BAOC samples gradient streams to compute per-block risk metrics for cheap optimizer configs then solves a constrained optimization to minimize total risk under memory and time budgets while preserving training quality.
Kingma and Jimmy Ba , title =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Budget-aware Auto Optimizer Configurator
BAOC samples gradient streams to compute per-block risk metrics for cheap optimizer configs then solves a constrained optimization to minimize total risk under memory and time budgets while preserving training quality.