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cs.IT2026
Finite-Sample Unbiasedly Estimable Information Monotones
Yuqing Kong
Which measures of statistical dependence can be estimated unbiasedly from a fixed number of samples while satisfying the data processing inequality (DPI)? For finite alphabets, fin…
cs.LG2026
Inverse Contextual Bandits without Rewards: Learning from a Non-Stationary Learner via Suffix Imitation
Yuqi Kong, Xiao Zhang, Weiran Shen
We study the Inverse Contextual Bandit (ICB) problem, in which a learner seeks to optimize a policy while an observer, who cannot access the learner's rewards and only observes act…
cs.LG2026
Calibration without Ground Truth
Yuqing Kong, Mingyu Song, Yizhou Wang +1
Villalobos et al. [2024] predict that publicly available human text will be exhausted within the next decade. Thus, improving models without access to ground-truth labels becomes i…