most citedProvable Multi-Objective Reinforcement Learning with Generative Models

1 citations · 1 across the 1 of their papers we have counts for

collaborators

6 papers

cs.LG20201 cited

Provable Multi-Objective Reinforcement Learning with Generative Models

Dongruo Zhou, Jiahao Chen, Quanquan Gu

Multi-objective reinforcement learning (MORL) is an extension of ordinary, single-objective reinforcement learning (RL) that is applicable to many real-world tasks where multiple o…

cs.LG2020

Towards Self-Regulating AI: Challenges and Opportunities of AI Model Governance in Financial Services

Eren Kurshan, Hongda Shen, Jiahao Chen

AI systems have found a wide range of application areas in financial services. Their involvement in broader and increasingly critical decisions has escalated the need for complianc…

cs.LG2020

FACT: A Diagnostic for Group Fairness Trade-offs

Joon Sik Kim, Jiahao Chen, Ameet Talwalkar

Group fairness, a class of fairness notions that measure how different groups of individuals are treated differently according to their protected attributes, has been shown to conf…

stat.AP2018

Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved

Jiahao Chen, Nathan Kallus, Xiaojie Mao +2

Assessing the fairness of a decision making system with respect to a protected class, such as gender or race, is challenging when class membership labels are unavailable. Probabili…

cs.LG2018

Fair lending needs explainable models for responsible recommendation

Jiahao Chen

The financial services industry has unique explainability and fairness challenges arising from compliance and ethical considerations in credit decisioning. These challenges complic…

cs.PL2018

Linguistic Relativity and Programming Languages

Jiahao Chen

The use of programming languages can wax and wane across the decades. We examine the split-apply- combine pattern that is common in statistical computing, and consider how its invo…