2 papers
stat.ML2026
A Convex Framework for Confounding Robust Inference
Kei Ishikawa, Niao He, Takafumi Kanamori
We study policy evaluation of offline contextual bandits subject to unobserved confounders. Sensitivity analysis methods are commonly used to estimate the policy value under the wo…
stat.ML2024
Robust Estimation for Kernel Exponential Families with Smoothed Total Variation Distances
Takafumi Kanamori, Kodai Yokoyama, Takayuki Kawashima
In statistical inference, we commonly assume that samples are independent and identically distributed from a probability distribution included in a pre-specified statistical model.…