33 citations · 42 across the 16 of their papers we have counts for
Showing 2026 · cs.LGShow all
2 papers · 2 filters
cs.LG2026
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…
cs.LG2026
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…