4 papers
PRISM: Calibrating Black-Box Judges with Counterfactual Probes
Kakei Yamamoto, So Kuroki
Large language models are increasingly used as judges to reduce reliance on costly human evaluation, yet their scores can systematically disagree with human judgments. We ask wheth…
TILT: Target-induced loss tilting under covariate shift
Kakei Yamamoto, Martin J. Wainwright
We introduce and analyze Target-Induced Loss Tilting (TILT) for unsupervised domain adaptation under covariate shift. It is based on a novel objective function that decomposes the…
Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation
Kakei Yamamoto, Martin J. Wainwright
We study statistical estimation in a student--teacher setting, where predictions from a pre-trained teacher are used to guide a student model. A standard approach is to train the s…
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
Juno Kim, Kakei Yamamoto, Kazusato Oko +2
In this paper, we extend mean-field Langevin dynamics to minimax optimization over probability distributions for the first time with symmetric and provably convergent updates. We p…