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cs.LG2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
Aoqi Zuo, Yiqing Li, Susan Wei +1
Fair machine learning aims to prevent discrimination against individuals or sub-populations based on sensitive attributes such as gender and race. In recent years, causal inference…
cs.LG2023
Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition
Zhongtian Chen, Edmund Lau, Jake Mendel +2
We investigate phase transitions in a Toy Model of Superposition (TMS) using Singular Learning Theory (SLT). We derive a closed formula for the theoretical loss and, in the case of…