importantSYS.SOURCE: Machine Learning Research Blog• 2026-09-25T22:48:52Z
Mitigating Exploding Variance in Log-Sum-Exp Estimation via Least-Squares Methods
The article addresses the challenge of exploding variance in estimating log-sum-exp functions, common in machine learning, and proposes least-squares methods as a solution. It explores variational formulations of f-divergences, particularly KL divergence, to develop stable estimation frameworks.
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