2 citations · 8 across the 14 of their papers we have counts for
17 papers
Information-Theoretic Generalization Bounds for Sequential Decision Making
Futoshi Futami, Masahiro Fujisawa
Information-theoretic generalization bounds based on the supersample construction are a central tool for algorithm-dependent generalization analysis in the batch i.i.d.~setting. Ho…
Unified Approach for Weakly Supervised Multicalibration
Futoshi Futami, Takashi Ishida
Multicalibration requires predicted scores to agree with label probabilities across rich families of subgroups and score-dependent tests, but existing methods require clean input-l…
Robust and Computationally Efficient Linear Contextual Bandits under Adversarial Corruption and Heavy-Tailed Noise
Naoto Tani, Futoshi Futami
We study linear contextual bandits under adversarial corruption and heavy-tailed noise with finite -th moments for some . Existing work that addresses both adver…
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…