3 papers
cs.LG2025
Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking Users
Bo-Yi Liu, Zhi-Xuan Liu, Kuan Lun Chen +3
Deep learning models are widely used in decision-making and recommendation systems, where they typically rely on the assumption of a static data distribution between training and d…
cs.LG2023
From Past to Future: Rethinking Eligibility Traces
Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari +3
In this paper, we introduce a fresh perspective on the challenges of credit assignment and policy evaluation. First, we delve into the nuances of eligibility traces and explore ins…
math.OC2022
A Syntactic Adaptive Problem Solver Learning Landscape Structures for Scheduling in Clinical Laboratory
Keyao Wang, Bo Liu
This paper attempts to derive a mathematical formulation for real-practice clinical laboratory schedul-ing, and to present a syntactic adaptive problem solver by leveraging landsca…