66 citations · 81 across the 4 of their papers we have counts for
4 papers
Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping
Junya Chen, Sijia Wang, Lawrence Carin +1
Distributed learning has become an integral tool for scaling up machine learning and addressing the growing need for data privacy. Although more robust to the network topology, dec…
A Holistic Approach to Interpretability in Financial Lending: Models, Visualizations, and Summary-Explanations
Chaofan Chen, Kangcheng Lin, Cynthia Rudin +3
Lending decisions are usually made with proprietary models that provide minimally acceptable explanations to users. In a future world without such secrecy, what decision support to…
GAN Memory with No Forgetting
Yulai Cong, Miaoyun Zhao, Jianqiao Li +2
As a fundamental issue in lifelong learning, catastrophic forgetting is directly caused by inaccessible historical data; accordingly, if the data (information) were memorized perfe…
An Interpretable Model with Globally Consistent Explanations for Credit Risk
Chaofan Chen, Kangcheng Lin, Cynthia Rudin +3
We propose a possible solution to a public challenge posed by the Fair Isaac Corporation (FICO), which is to provide an explainable model for credit risk assessment. Rather than pr…