Drew Prinster
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126
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AI×1ML×1
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2026
Toward Calibrated Mixture-of-Experts Under Distribution Shift
This paper studies the behavior of mixture-of-experts (MoE) models under distribution shift and proposes an adversarial reweighting method to improve their calibration.
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Papers
cs.AIcs.LGEmpiricalRecentJun 18, 2026
Toward Calibrated Mixture-of-Experts Under Distribution Shift
Gina Wong, Drew Prinster, Suchi Saria, Rama Chellappa +1 more
This paper studies the behavior of mixture-of-experts (MoE) models under distribution shift and proposes an adversarial reweighting method to improve their calibration.
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