36 citations · 37 across the 6 of their papers we have counts for
8 papers
North or South? Diagnosing LLMs' Understanding of North Korean Language, Society, and Knowledge
Kiwoong Park, Seyoung Song, Donghyun Woo +1
Large Language Models (LLMs) have made substantial progress in multilingual question answering, yet their ability to understand low-resource sociolinguistic contexts remains under-…
The Surrogate Is Not the Reward: Post-Surrogate Primary-Outcome Acquisition in Contextual Bandits
Kyungbok Lee, Michael R. Kosorok
We study contextual bandits in which a surrogate is observed after the action but before the learner decides whether to acquire the primary outcome that defines action value and re…
The Fidelity and Feedback Traps: The Case for Health Digital Twins as Modular Evolving Causal Systems
Nikki L. B. Freeman, Yating Zou, Kyungbok Lee +3
Digital twins for health may be used to compare treatments, project patient trajectories, and support clinical decisions. While related to mechanical digital twins, those initially…
Provable Offline Reinforcement Learning for Structured Cyclic MDPs
Kyungbok Lee, Angelica Cristello Sarteau, Michael R. Kosorok
We introduce a novel cyclic Markov decision process (MDP) framework for multi-step decision problems with heterogeneous stage-specific dynamics, transitions, and discount factors a…
Doubly-Robust Off-Policy Evaluation with Estimated Logging Policy
Kyungbok Lee, Myunghee Cho Paik
We introduce a novel doubly-robust (DR) off-policy evaluation (OPE) estimator for Markov decision processes, DRUnknown, designed for situations where both the logging policy and th…
Wasserstein Geodesic Generator for Conditional Distributions
Young-geun Kim, Kyungbok Lee, Youngwon Choi +2
Generating samples given a specific label requires estimating conditional distributions. We derive a tractable upper bound of the Wasserstein distance between conditional distribut…
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits
Wonyoung Kim, Kyungbok Lee, Myunghee Cho Paik
We propose a novel contextual bandit algorithm for generalized linear rewards with an regret over rounds where is the minimum eigenvalue of th…
Direct dark matter search by annual modulation with 2.7 years of XMASS-I data
XMASS Collaboration, K. Abe, K. Hiraide +39
An annual modulation signal due to the Earth orbiting around the Sun would be one of the strongest indications of the direct detection of dark matter. In 2016, we reported a search…