33 citations · 42 across the 16 of their papers we have counts for
7 papers · 1 filter
Information-Theoretic Generalization for Set-Input Optimization-Valued Objectives
Futoshi Futami, Masahiro Fujisawa
Modern machine learning is increasingly evaluated using criteria such as multicalibration, CVaR, and Cressie-Read DRO, which target subgroup reliability, tail risk, and distributio…
Nambu's Dynamics, Strings and Gravitized Quantum Theory
Tristan Hübsch, Djordje Minic
In this article we present a new view on string theory that is rooted in quantum foundations extended to the domain of quantum gravity in the form of gravitized quantum theory, in…
ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty
Yuyang Dai, Yuting Tang, Futoshi Futami +1
Evaluating model uncertainty on real-world data is challenging because each instance provides only a single observed label, leaving true conditional class probabilities unknown. To…
Hierarchical Utility Calibration for Structured Multiclass Decisions
Futoshi Futami, Jerry Huang, Ichiro Takeuchi
In multiclass probabilistic prediction, Utility Calibration (UC), which focuses auditing on specified utilities, has recently received attention as a way to guarantee downstream de…
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…