5 papers
AdaptJobRec: Enhancing Conversational Career Recommendation through an LLM-Powered Agentic System
Qixin Wang, Dawei Wang, Kun Chen +11
In recent years, recommendation systems have evolved from providing a single list of recommendations to offering a comprehensive suite of topic focused services. To better accompli…
Causally Fair Node Classification on Non-IID Graph Data
Yucong Dai, Lu Zhang, Yaowei Hu +2
Fair machine learning seeks to identify and mitigate biases in predictions against unfavorable populations characterized by demographic attributes, such as race and gender. Recent…
Long-Term Fair Decision Making through Deep Generative Models
Yaowei Hu, Yongkai Wu, Lu Zhang
This paper studies long-term fair machine learning which aims to mitigate group disparity over the long term in sequential decision-making systems. To define long-term fairness, we…
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning
Yaowei Hu, Jacob Lear, Lu Zhang
While significant advancements have been made in the field of fair machine learning, the majority of studies focus on scenarios where the decision model operates on a static popula…
Achieving Long-Term Fairness in Sequential Decision Making
Yaowei Hu, Lu Zhang
In this paper, we propose a framework for achieving long-term fair sequential decision making. By conducting both the hard and soft interventions, we propose to take path-specific…