12 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework
Simiao Zhang, Jitao Bai, Menghong Guan +4
Machine learning is widely used to make decisions with societal impact such as bank loan approving, criminal sentencing, and resume filtering. How to ensure its fairness while main…
cs.LG2022★ 1 cited
Adaptive Fairness Improvement Based on Causality Analysis
Mengdi Zhang, Jun Sun
Given a discriminating neural network, the problem of fairness improvement is to systematically reduce discrimination without significantly scarifies its performance (i.e., accurac…
cs.DB2017★ 12 cited
Quality-Driven Disorder Handling for M-way Sliding Window Stream Joins
Yuanzhen Ji, Jun Sun, Anisoara Nica +3
Sliding window join is one of the most important operators for stream applications. To produce high quality join results, a stream processing system must deal with the ubiquitous d…