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Takashi Takahashi

2 accepted papers

2025

The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model

NeurIPS 2025poster

Self-distillation (SD), a technique where a model improves itself using its own predictions, has attracted attention as a simple yet powerful approach in machine learning. Despite its widespread use, the mechanisms underlying its effectiveness remain unclear. In this study, we investigate the effica…

Cited by 0SourcecodeScholar
2023

Average case analysis of Lasso under ultra sparse conditions

AISTATS 2023poster

We analyze the performance of the least absolute shrinkage and selection operator (Lasso) for the linear model when the number of regressors $N$ grows larger keeping the true support size $d$ finite, i.e., the ultra-sparse case. The result is based on a novel treatment of the non-rigorous replica me…

Cited by 8SourcePDFScholar