5 citations · 9 across the 6 of their papers we have counts for
6 papers
Allocating Divisible Resources on Arms with Unknown and Random Rewards
Ningyuan Chen, Wenhao Li
We consider a decision maker allocating one unit of renewable and divisible resource in each period on a number of arms. The arms have unknown and random rewards whose means are pr…
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations
Yudong Xu, Wenhao Li, Pashootan Vaezipoor +2
Can a Large Language Model (LLM) solve simple abstract reasoning problems? We explore this broad question through a systematic analysis of GPT on the Abstraction and Reasoning Corp…
HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction
Jie Zhou, Xianshuai Cao, Wenhao Li +4
Multi-scenario & multi-task learning has been widely applied to many recommendation systems in industrial applications, wherein an effective and practical approach is to carry out…
Algorithmic Decision-Making Safeguarded by Human Knowledge
Ningyuan Chen, Ming Hu, Wenhao Li
Commercial AI solutions provide analysts and managers with data-driven business intelligence for a wide range of decisions, such as demand forecasting and pricing. However, human a…
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection
Wenhao Li, Ningyuan Chen, L. Jeff Hong
We consider a contextual online learning (multi-armed bandit) problem with high-dimensional covariate and decision . The reward function to learn, $f(\math…
A Dimension-free Algorithm for Contextual Continuum-armed Bandits
Wenhao Li, Ningyuan Chen, L. Jeff Hong
In contextual continuum-armed bandits, the contexts and the arms are both continuous and drawn from high-dimensional spaces. The payoff function to learn does not…