33 citations · 42 across the 16 of their papers we have counts for
4 papers · 1 filter
Data-driven Projection Generation for Efficiently Solving Heterogeneous Quadratic Programming Problems
Tomoharu Iwata, Futoshi Futami
We propose a data-driven framework for efficiently solving quadratic programming (QP) problems by reducing the number of variables in high-dimensional QPs using instance-specific p…
-Regularized Empirical Risk Minimization Guarantees Small Smooth Calibration Error
Masahiro Fujisawa, Futoshi Futami
Calibration of predicted probabilities is critical for reliable machine learning, yet it is poorly understood how standard training procedures yield well-calibrated models. This wo…
Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables
Futoshi Futami, Masahiro Fujisawa
Latent variables (LVs) play a crucial role in encoder-decoder models by enabling effective data compression, prediction, and generation. Although their theoretical properties, such…
Uniform convergence of the smooth calibration error and its relationship with functional gradient
Futoshi Futami, Atsushi Nitanda
Calibration is a critical requirement for reliable probabilistic prediction, especially in high-risk applications. However, the theoretical understanding of which learning algorith…